faces) {\\n detectFaces(faces, mutableImage);\\r\\n hideProgress();\\r\\n bottom_sheet_recycler.getAdapter().notifyDataSetChanged();\\r\\n bottomSheetBehavior.setState(BottomSheetBehavior.STATE_EXPANDED);\\r\\n\\r\\n faceDetectionCameraView.stop();\\r\\n\\r\\n imageView.setVisibility(View.VISIBLE);\\r\\n imageView.setImageBitmap(mutableImage);\\r\\n }\",\n \"public Observable> findFacesWithServiceResponseAsync(Boolean cacheImage) {\\n if (this.client.baseUrl() == null) {\\n throw new IllegalArgumentException(\\\"Parameter this.client.baseUrl() is required and cannot be null.\\\");\\n }\\n String parameterizedHost = Joiner.on(\\\", \\\").join(\\\"{baseUrl}\\\", this.client.baseUrl());\\n return service.findFaces(cacheImage, this.client.acceptLanguage(), parameterizedHost, this.client.userAgent())\\n .flatMap(new Func1, Observable>>() {\\n @Override\\n public Observable> call(Response response) {\\n try {\\n ServiceResponse clientResponse = findFacesDelegate(response);\\n return Observable.just(clientResponse);\\n } catch (Throwable t) {\\n return Observable.error(t);\\n }\\n }\\n });\\n }\",\n \"public ArrayList getFavoritePairs() {\\n ArrayList favPairs = new ArrayList<>();\\n for(Landmark landmark : landmarks.getFavorites()) {\\n favPairs.add(new String[]{landmark.getName(), landmark.getLocation().toString(), landmark.getDescription()});\\n }\\n return favPairs;\\n }\",\n \"public FaceRectangle faceRectangle() {\\n return this.faceRectangle;\\n }\",\n \"public ArrayList getListFraisH() {\\n return listeFraisHf;\\n }\",\n \"public static BufferedImage detectFace(BufferedImage newPhoto) {\\n\\t\\tIplImage faceImage = IplImage.createFrom(newPhoto);\\n\\t\\tCvHaarClassifierCascade cascade = new CvHaarClassifierCascade(cvLoad(\\\"res/haarcascade_frontalface_default.xml\\\"));\\n\\t\\tCvMemStorage storage = CvMemStorage.create();\\n\\t\\tCvSeq sign = cvHaarDetectObjects(faceImage, cascade, storage, 1.1, 3, CV_HAAR_DO_CANNY_PRUNING);\\n\\t\\tcvClearMemStorage(storage);\\n\\t\\t\\n\\t\\t//if not faces detected, returns null.\\n\\t\\tif (sign.total() == 0){\\n\\t\\t\\tnewPhoto = null;\\n\\t\\t\\tSystem.out.println(\\\"No Face\\\");\\n\\t\\t}\\n\\t\\t\\n\\t\\telse {\\n\\t\\t\\tIplImage newImage; //IplImage used to temporarily hold the face\\n\\t\\t\\tint biggest = 0; //location of biggest face\\n\\t\\t\\tint biggestSize = 0; //height of biggest face\\n\\t\\t\\tCvRect r;\\n\\t\\t\\tfor (int i = 0; i < sign.total(); i++){\\n\\t\\t\\t\\tr = new CvRect(cvGetSeqElem(sign, i));\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tif (r.height() > biggestSize){\\n\\t\\t\\t\\t\\tbiggest = i;\\n\\t\\t\\t\\t\\tbiggestSize = r.height();\\n\\t\\t\\t\\t}\\n\\t\\n\\t\\t\\t}\\n\\t\\t\\tcvResetImageROI(faceImage);\\n\\t\\t\\tr = new CvRect(cvGetSeqElem(sign, biggest));\\n\\t\\t\\tcvSetImageROI(faceImage, r);\\n\\t\\t\\t//sets size of newImage to same as face\\n\\t\\t\\tnewImage = cvCreateImage(cvGetSize(faceImage), faceImage.depth(), faceImage.nChannels());\\n\\t\\t\\t//Copies the face into newImage\\n\\t\\t\\tcvCopy(faceImage, newImage);\\n\\t\\t\\tcvResetImageROI(faceImage);\\n\\t\\t\\t//Converts back to BufferedImage\\n\\t\\t\\tnewPhoto = newImage.getBufferedImage();\\n\\t\\t}\\n\\t\\t//If null = no faces detected\\n\\t\\treturn newPhoto;\\n\\t}\",\n \"public List facets() {\\n return this.facets;\\n }\",\n \"String[] getFamilyNames() {\\n\\t\\treturn this.familyMap.keySet().toArray(new String[this.familyMap.size()]);\\n\\t}\",\n \"@Override\\n protected Face[] doInBackground(InputStream... params) {\\n FaceServiceClient faceServiceClient = SampleApp.getFaceServiceClient();\\n try {\\n publishProgress(\\\"Detecting...\\\");\\n\\n // Start detection.\\n return faceServiceClient.detect(\\n params[0], /* Input stream of image to detect */\\n true, /* Whether to return face ID */\\n true, /* Whether to return face landmarks */\\n /* Which face attributes to analyze, currently we support:\\n age,gender,headPose,smile,facialHair */\\n new FaceServiceClient.FaceAttributeType[]{\\n FaceServiceClient.FaceAttributeType.Age,\\n FaceServiceClient.FaceAttributeType.Gender,\\n FaceServiceClient.FaceAttributeType.Smile,\\n FaceServiceClient.FaceAttributeType.Glasses,\\n FaceServiceClient.FaceAttributeType.FacialHair,\\n FaceServiceClient.FaceAttributeType.Emotion,\\n FaceServiceClient.FaceAttributeType.HeadPose,\\n FaceServiceClient.FaceAttributeType.Accessories,\\n FaceServiceClient.FaceAttributeType.Blur,\\n FaceServiceClient.FaceAttributeType.Exposure,\\n FaceServiceClient.FaceAttributeType.Hair,\\n FaceServiceClient.FaceAttributeType.Makeup,\\n FaceServiceClient.FaceAttributeType.Noise,\\n FaceServiceClient.FaceAttributeType.Occlusion\\n });\\n\\n\\n } catch (Exception e) {\\n mSucceed = false;\\n publishProgress(e.getMessage());\\n return null;\\n }\\n }\",\n \"java.util.List getFeatureList();\",\n \"java.util.List getFeatureList();\",\n \"public static ArrayList getColorsDetected() {\\n return colorsDetected;\\n }\",\n \"@Override\\n protected Face[] doInBackground(InputStream... params) {\\n FaceServiceClient faceServiceClient = SampleApp.getFaceServiceClient();\\n try {\\n publishProgress(\\\"Detecting...\\\");\\n\\n // Start detection.\\n return faceServiceClient.detect(\\n params[0], /* Input stream of image to detect */\\n true, /* Whether to return face ID */\\n true, /* Whether to return face landmarks */\\n /* Which face attributes to analyze, currently we support:\\n age,gender,headPose,smile,facialHair */\\n new FaceServiceClient.FaceAttributeType[] {\\n FaceServiceClient.FaceAttributeType.Age,\\n FaceServiceClient.FaceAttributeType.Gender,\\n FaceServiceClient.FaceAttributeType.Smile,\\n FaceServiceClient.FaceAttributeType.Glasses,\\n FaceServiceClient.FaceAttributeType.FacialHair,\\n FaceServiceClient.FaceAttributeType.Emotion,\\n FaceServiceClient.FaceAttributeType.HeadPose,\\n FaceServiceClient.FaceAttributeType.Accessories,\\n FaceServiceClient.FaceAttributeType.Blur,\\n FaceServiceClient.FaceAttributeType.Exposure,\\n FaceServiceClient.FaceAttributeType.Hair,\\n FaceServiceClient.FaceAttributeType.Makeup,\\n FaceServiceClient.FaceAttributeType.Noise,\\n FaceServiceClient.FaceAttributeType.Occlusion\\n });\\n } catch (Exception e) {\\n mSucceed = false;\\n publishProgress(e.getMessage());\\n return null;\\n }\\n }\",\n \"List getVisibleShapes();\",\n \"public void inferFacesFromEdges()\\n\\tthrows InconsistencyException\\n\\t{\\n\\t\\t// first empty the list of faces\\n\\t\\tif(faces == null)\\n\\t\\t\\tfaces = new ArrayList();\\n\\t\\telse\\n\\t\\t\\tfaces.clear();\\n\\n\\t\\t// go through all vertices\\n\\t\\tfor(int v=0; vv\\n\\t\\t\\t// (if w indicesOfEdgesAtVertex = new ArrayList();\\n\\t\\t\\t\\n\\t\\t\\t// ... and populating it by going through all the edges\\n\\t\\t\\tfor(int e=0; ev?\\n\\t\\t\\t\\tif(edges.get(e).getOtherVertexIndex(v) > v)\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t// yes\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t// add it to the list of edges that start or finish at this vertex\\n\\t\\t\\t\\t\\tindicesOfEdgesAtVertex.add(e);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\t// System.out.println(\\\"SimplicialComplex::inferFacesFromEdges: indices of edges meeting at vertex #\\\"+v+\\\": \\\" + indicesOfEdgesAtVertex.toString());\\n\\t\\t\\t\\n\\t\\t\\t// second, go through all pairs of edges that start or finish at vertex #v;\\n\\t\\t\\t// each such pair represents two of the three edges of a face that meets at vertex #v\\n\\t\\t\\tfor(int e1=0; e1 getFeatures();\",\n \"public Set getAlleFragen() {\\r\\n Set result = new HashSet();\\r\\n Set fragen = dataStore.getAlleFragen();\\r\\n for (FrageDTO dto : fragen) {\\r\\n int frageId = dto.getId();\\r\\n List antworten = dataStore.getAntwortenById(frageId);\\r\\n List votes = dataStore.getVotings(frageId);\\r\\n Frage frage = new Frage(dto.getId(), dto.getText(),\\r\\n dto.getStatus(), antworten, votes);\\r\\n result.add(frage);\\r\\n }\\r\\n return result;\\r\\n }\",\n \"public List getFaceRects(long startTime, long endTime) {\\n if(frameDataMap == null){\\n return Collections.emptyList();\\n }\\n List result = new ArrayList<>();\\n final int size = frameDataMap.size();\\n for (int i = 0; i < size ; i++) {\\n long key = CommonUtils.timeToFrame(frameDataMap.keyAt(i), TimeUnit.SECONDS);\\n if(key >= startTime && key <= endTime){\\n FrameFaceRects faceRects = frameDataMap.valueAt(i).getFaceRects();\\n if(faceRects != null) {\\n result.add(faceRects);\\n }\\n }\\n }\\n return result;\\n }\",\n \"public static String[] getFamilyNames() {\\n if (fonts == null) {\\n getAllFonts();\\n }\\n\\n return (String[]) families.toArray(new String[0]);\\n }\",\n \"@Override\\n public void onUpdate(FaceDetector.Detections detectionResults, Face face)\\n {\\n int facesFound = detectionResults.getDetectedItems().size();\\n\\n faceTrackingListener.onFaceDetected(facesFound);\\n }\",\n \"public Set getSupportedCubes();\",\n \"public FriendList[] getFriendsLists();\",\n \"public List> getVertices() {\\n return mFactoryVertices;\\n }\",\n \"boolean hasFaceUp();\",\n \"@DISPID(1610940431) //= 0x6005000f. The runtime will prefer the VTID if present\\n @VTID(37)\\n Collection userSurfaces();\",\n \"public List getMessages() {\\n return FxJsfUtils.getMessages(null);\\n }\",\n \"public void startFaceDetection() {\\n /*\\n r6 = this;\\n r0 = r6.mFaceDetectionStarted;\\n if (r0 != 0) goto L_0x004a;\\n L_0x0004:\\n r0 = r6.mCameraDevice;\\n if (r0 == 0) goto L_0x004a;\\n L_0x0008:\\n r0 = r6.needFaceDetection();\\n if (r0 != 0) goto L_0x000f;\\n L_0x000e:\\n goto L_0x004a;\\n L_0x000f:\\n r0 = r6.mCameraCapabilities;\\n r0 = r0.getMaxNumOfFacesSupported();\\n if (r0 <= 0) goto L_0x0049;\\n L_0x0017:\\n r0 = 1;\\n r6.mFaceDetectionStarted = r0;\\n r1 = r6.mCameraDevice;\\n r2 = r6.mHandler;\\n r3 = r6.mUI;\\n r1.setFaceDetectionCallback(r2, r3);\\n r1 = r6.mUI;\\n r2 = r6.mDisplayOrientation;\\n r3 = r6.isCameraFrontFacing();\\n r4 = r6.mCameraId;\\n r4 = r6.cropRegionForZoom(r4);\\n r5 = 1065353216; // 0x3f800000 float:1.0 double:5.263544247E-315;\\n r1.onStartFaceDetection(r2, r3, r4, r5);\\n r1 = TAG;\\n r2 = \\\"startFaceDetection\\\";\\n com.hmdglobal.app.camera.debug.Log.w(r1, r2);\\n r1 = r6.mCameraDevice;\\n r1.startFaceDetection();\\n r1 = com.hmdglobal.app.camera.util.SessionStatsCollector.instance();\\n r1.faceScanActive(r0);\\n L_0x0049:\\n return;\\n L_0x004a:\\n return;\\n */\\n throw new UnsupportedOperationException(\\\"Method not decompiled: com.hmdglobal.app.camera.PhotoModule.startFaceDetection():void\\\");\\n }\",\n \"public Fence[] getAllFences() {\\n/* 622 */ Set fenceSet = new HashSet<>();\\n/* 623 */ if (this.fences != null)\\n/* */ {\\n/* 625 */ for (Fence f : this.fences.values())\\n/* */ {\\n/* 627 */ fenceSet.add(f);\\n/* */ }\\n/* */ }\\n/* */ \\n/* 631 */ VolaTile eastTile = this.zone.getTileOrNull(this.tilex + 1, this.tiley);\\n/* 632 */ if (eastTile != null) {\\n/* */ \\n/* 634 */ Fence[] eastFences = eastTile.getFencesForDir(Tiles.TileBorderDirection.DIR_DOWN);\\n/* 635 */ for (int x = 0; x < eastFences.length; x++)\\n/* */ {\\n/* 637 */ fenceSet.add(eastFences[x]);\\n/* */ }\\n/* */ } \\n/* */ \\n/* 641 */ VolaTile southTile = this.zone.getTileOrNull(this.tilex, this.tiley + 1);\\n/* 642 */ if (southTile != null) {\\n/* */ \\n/* 644 */ Fence[] southFences = southTile.getFencesForDir(Tiles.TileBorderDirection.DIR_HORIZ);\\n/* 645 */ for (int x = 0; x < southFences.length; x++)\\n/* */ {\\n/* 647 */ fenceSet.add(southFences[x]);\\n/* */ }\\n/* */ } \\n/* */ \\n/* 651 */ if (fenceSet.size() == 0) {\\n/* 652 */ return emptyFences;\\n/* */ }\\n/* 654 */ return fenceSet.toArray(new Fence[fenceSet.size()]);\\n/* */ }\",\n \"public void recognize(){\\n\\t String dirOfFace =\\\".\\\\\\\\Faces\\\";\\n\\t String dirOfTestFaces =\\\".\\\\\\\\TestFaces\\\";\\n\\t \\n\\t File root = new File(dirOfFace);\\n File Testfaces = new File(dirOfTestFaces);\\n FilenameFilter imgFilter = new FilenameFilter() {\\n\\n public boolean accept(File dir, String name) {\\n\\n name = name.toLowerCase();\\n\\n return name.endsWith(\\\".jpg\\\") || name.endsWith(\\\".pgm\\\") || name.endsWith(\\\".png\\\");\\n\\n }\\n\\n };\\n \\n File[] imageFiles = Testfaces.listFiles(imgFilter);\\n for (File image : imageFiles) {\\n Recognizer fd = new Recognizer();\\n int rollno=0;\\n rollno = fd.returnPredict(image,root);\\n System.out.println(rollno);\\n try {\\n db.AttendenceTable(rollno);\\n } catch (ClassNotFoundException ex) {\\n JOptionPane.showMessageDialog(null, ex);\\n }\\n }\\n\\n\\n }\",\n \"public ArrayList loadFavorites() {\\n\\n\\t\\tSAVE_FILE = FAVORITE_FILE;\\n\\t\\tArrayList list = new ArrayList();\\n\\t\\tlist = loadIds();\\n\\t\\treturn list;\\n\\t}\",\n \"public java.util.List getVertices();\",\n \"boolean getFaceDetectionPref();\",\n \"public interface FaceTrackingListener {\\n void onFaceLeftMove();\\n void onFaceRightMove();\\n void onFaceUpMove();\\n void onFaceDownMove();\\n void onGoodSmile();\\n void onEyeCloseError();\\n void onMouthOpenError();\\n void onMultipleFaceError();\\n\\n}\",\n \"public void FPrimeEvent(ArrayList> faces) {\\r\\n \\tint u1 = CUBE7, l1 = CUBE9, r1 = CUBE1, b1 = CUBE3;\\r\\n \\tfor(int i = 0; i < 3; i++) {\\r\\n \\t\\tColor color = faces.get(TOP).get(u1).getColor();\\r\\n \\tfaces.get(TOP).get(u1).changeColor(faces.get(RIGHT).get(r1).getColor());\\r\\n \\tfaces.get(RIGHT).get(r1).changeColor(faces.get(BOTTOM).get(b1).getColor());\\r\\n \\tfaces.get(BOTTOM).get(b1).changeColor(faces.get(LEFT).get(l1).getColor());\\r\\n \\tfaces.get(LEFT).get(l1).changeColor(color);\\r\\n \\tu1++;\\r\\n \\tl1 -= SHIFT_ROW;\\r\\n \\tb1--;\\r\\n \\tr1 += SHIFT_ROW;\\r\\n \\t} \\r\\n \\r\\n \\tColor color = faces.get(FRONT).get(CUBE1).getColor();\\r\\n \\tfaces.get(FRONT).get(CUBE1).changeColor(faces.get(FRONT).get(CUBE3).getColor());\\r\\n \\tfaces.get(FRONT).get(CUBE3).changeColor(faces.get(FRONT).get(CUBE9).getColor());\\r\\n \\tfaces.get(FRONT).get(CUBE9).changeColor(faces.get(FRONT).get(CUBE7).getColor());\\r\\n \\tfaces.get(FRONT).get(CUBE7).changeColor(color);\\r\\n \\tcolor = faces.get(FRONT).get(CUBE2).getColor();\\r\\n \\tfaces.get(FRONT).get(CUBE2).changeColor(faces.get(FRONT).get(CUBE6).getColor());\\r\\n \\tfaces.get(FRONT).get(CUBE6).changeColor(faces.get(FRONT).get(CUBE8).getColor());\\r\\n \\tfaces.get(FRONT).get(CUBE8).changeColor(faces.get(FRONT).get(CUBE4).getColor());\\r\\n \\tfaces.get(FRONT).get(CUBE4).changeColor(color);\\r\\n }\",\n \"public FamilyInfo[] getFamilyInfo() {\\n return familyInfo;\\n }\",\n \"public ArrayList getNeighbors();\",\n \"public Figure[] getFigures() {\\n return figures;\\n }\",\n \"public static List getRegisteredEssences() {\\n ArrayList essences = new ArrayList();\\n MagicStaffs.ITEMS\\n .stream()\\n .filter(item -> item instanceof IEssence)\\n .forEach(item -> essences.add((IEssence) item));\\n return essences;\\n }\",\n \"public boolean needFaceDetection() {\\n return true;\\n }\",\n \"java.util.List \\n getFigureListList();\",\n \"public static ArrayList getAvailableFamilies() {\\n ArrayList allFamilies = new ArrayList();\\n File dir = new File(getRapidSmithPath() + File.separator + \\\"devices\\\");\\n if (!dir.exists()) {\\n MessageGenerator.briefErrorAndExit(\\\"ERROR: No part files exist. Please run \\\" +\\n Installer.class.getCanonicalName() + \\\" to create part files.\\\");\\n }\\n for (String partFamily : dir.list()) {\\n FamilyType type = PartNameTools.getFamilyTypeFromFamilyName(partFamily);\\n if (type != null) allFamilies.add(type);\\n }\\n\\n return allFamilies;\\n }\",\n \"java.util.List \\n getEdgeList();\",\n \"protected abstract void setFaces();\",\n \"public java.util.List getFeatureList()\\r\\n {\\r\\n final class FeatureList extends java.util.AbstractList\\r\\n {\\r\\n public org.landxml.schema.landXML11.FeatureDocument.Feature get(int i)\\r\\n { return IntersectionImpl.this.getFeatureArray(i); }\\r\\n \\r\\n public org.landxml.schema.landXML11.FeatureDocument.Feature set(int i, org.landxml.schema.landXML11.FeatureDocument.Feature o)\\r\\n {\\r\\n org.landxml.schema.landXML11.FeatureDocument.Feature old = IntersectionImpl.this.getFeatureArray(i);\\r\\n IntersectionImpl.this.setFeatureArray(i, o);\\r\\n return old;\\r\\n }\\r\\n \\r\\n public void add(int i, org.landxml.schema.landXML11.FeatureDocument.Feature o)\\r\\n { IntersectionImpl.this.insertNewFeature(i).set(o); }\\r\\n \\r\\n public org.landxml.schema.landXML11.FeatureDocument.Feature remove(int i)\\r\\n {\\r\\n org.landxml.schema.landXML11.FeatureDocument.Feature old = IntersectionImpl.this.getFeatureArray(i);\\r\\n IntersectionImpl.this.removeFeature(i);\\r\\n return old;\\r\\n }\\r\\n \\r\\n public int size()\\r\\n { return IntersectionImpl.this.sizeOfFeatureArray(); }\\r\\n \\r\\n }\\r\\n \\r\\n synchronized (monitor())\\r\\n {\\r\\n check_orphaned();\\r\\n return new FeatureList();\\r\\n }\\r\\n }\",\n \"public void startFaceDetection() {\\n /*\\n r4 = this;\\n r0 = r4.mFaceDetectionStarted;\\n if (r0 != 0) goto L_0x0036;\\n L_0x0004:\\n r0 = r4.mCameraDevice;\\n if (r0 == 0) goto L_0x0036;\\n L_0x0008:\\n r0 = r4.needFaceDetection();\\n if (r0 != 0) goto L_0x000f;\\n L_0x000e:\\n goto L_0x0036;\\n L_0x000f:\\n r0 = r4.mCameraCapabilities;\\n r0 = r0.getMaxNumOfFacesSupported();\\n if (r0 <= 0) goto L_0x0035;\\n L_0x0017:\\n r0 = 1;\\n r4.mFaceDetectionStarted = r0;\\n r1 = TAG;\\n r2 = \\\"startFaceDetection\\\";\\n com.hmdglobal.app.camera.debug.Log.w(r1, r2);\\n r1 = r4.mCameraDevice;\\n r2 = r4.mHandler;\\n r3 = 0;\\n r1.setFaceDetectionCallback(r2, r3);\\n r1 = r4.mCameraDevice;\\n r1.startFaceDetection();\\n r1 = com.hmdglobal.app.camera.util.SessionStatsCollector.instance();\\n r1.faceScanActive(r0);\\n L_0x0035:\\n return;\\n L_0x0036:\\n return;\\n */\\n throw new UnsupportedOperationException(\\\"Method not decompiled: com.hmdglobal.app.camera.VideoModule.startFaceDetection():void\\\");\\n }\",\n \"public Fence[] getFencesForDir(Tiles.TileBorderDirection dir) {\\n/* 713 */ if (this.fences != null) {\\n/* */ \\n/* 715 */ Set fenceSet = new HashSet<>();\\n/* 716 */ for (Fence f : this.fences.values()) {\\n/* */ \\n/* 718 */ if (f.getDir() == dir)\\n/* 719 */ fenceSet.add(f); \\n/* */ } \\n/* 721 */ return fenceSet.toArray(new Fence[fenceSet.size()]);\\n/* */ } \\n/* */ \\n/* 724 */ return emptyFences;\\n/* */ }\",\n \"public List getGenders()\\r\\n\\t{\\r\\n\\t\\treturn getGenders( getSession().getSessionContext() );\\r\\n\\t}\",\n \"public RubiksFace getRubiksFace(RubiksFace.RubiksFacePosition position) {\\n for (RubiksFace face : rubiksFaceList) {\\n if (face.getFacePosition() == position) {\\n return face;\\n }\\n }\\n\\n return null;\\n }\",\n \"public int getFaceValue ()\\n {\\n return faceValue;\\n }\"\n]"},"negative_scores":{"kind":"list like","value":["0.7671218","0.74343956","0.71101314","0.691482","0.69146","0.62822634","0.6271086","0.6183204","0.6173539","0.59023684","0.5782556","0.5730131","0.5664912","0.56492686","0.5503748","0.5503748","0.5493492","0.54722375","0.5456128","0.5450902","0.544514","0.54380745","0.542457","0.53716654","0.5351666","0.5326719","0.53265595","0.5308396","0.5303193","0.5295572","0.5295094","0.5272228","0.5265717","0.5262931","0.5261844","0.5257992","0.5237957","0.52317333","0.5228677","0.5219602","0.52112395","0.51959306","0.51934713","0.51800495","0.5178952","0.51443094","0.51396716","0.51318103","0.5127423","0.5121473","0.5099383","0.50975674","0.50803834","0.50186664","0.5003959","0.49900812","0.49661115","0.49379647","0.49350825","0.49341998","0.49160892","0.49130994","0.49130994","0.48947468","0.48935443","0.48619336","0.48612344","0.4857237","0.48491156","0.48386344","0.48324826","0.48275903","0.4820903","0.48185924","0.4817562","0.48174706","0.4770805","0.47672883","0.47659874","0.4759456","0.4751915","0.47493252","0.47398522","0.47365126","0.47356418","0.4733061","0.4730482","0.47186825","0.47163165","0.47141817","0.47089583","0.47069725","0.47067052","0.47004554","0.4698661","0.4696508","0.46929026","0.4681642","0.4675755","0.46745446","0.46661794"],"string":"[\n \"0.7671218\",\n \"0.74343956\",\n \"0.71101314\",\n \"0.691482\",\n \"0.69146\",\n \"0.62822634\",\n \"0.6271086\",\n \"0.6183204\",\n \"0.6173539\",\n \"0.59023684\",\n \"0.5782556\",\n \"0.5730131\",\n \"0.5664912\",\n \"0.56492686\",\n \"0.5503748\",\n \"0.5503748\",\n \"0.5493492\",\n \"0.54722375\",\n \"0.5456128\",\n \"0.5450902\",\n \"0.544514\",\n \"0.54380745\",\n \"0.542457\",\n \"0.53716654\",\n \"0.5351666\",\n \"0.5326719\",\n \"0.53265595\",\n \"0.5308396\",\n \"0.5303193\",\n \"0.5295572\",\n \"0.5295094\",\n \"0.5272228\",\n \"0.5265717\",\n \"0.5262931\",\n \"0.5261844\",\n \"0.5257992\",\n \"0.5237957\",\n \"0.52317333\",\n \"0.5228677\",\n \"0.5219602\",\n \"0.52112395\",\n \"0.51959306\",\n \"0.51934713\",\n \"0.51800495\",\n \"0.5178952\",\n \"0.51443094\",\n \"0.51396716\",\n \"0.51318103\",\n \"0.5127423\",\n \"0.5121473\",\n \"0.5099383\",\n \"0.50975674\",\n \"0.50803834\",\n \"0.50186664\",\n \"0.5003959\",\n \"0.49900812\",\n \"0.49661115\",\n \"0.49379647\",\n \"0.49350825\",\n \"0.49341998\",\n \"0.49160892\",\n \"0.49130994\",\n \"0.49130994\",\n \"0.48947468\",\n \"0.48935443\",\n \"0.48619336\",\n \"0.48612344\",\n \"0.4857237\",\n \"0.48491156\",\n \"0.48386344\",\n \"0.48324826\",\n \"0.48275903\",\n \"0.4820903\",\n \"0.48185924\",\n \"0.4817562\",\n \"0.48174706\",\n \"0.4770805\",\n \"0.47672883\",\n \"0.47659874\",\n \"0.4759456\",\n \"0.4751915\",\n \"0.47493252\",\n \"0.47398522\",\n \"0.47365126\",\n \"0.47356418\",\n \"0.4733061\",\n \"0.4730482\",\n \"0.47186825\",\n \"0.47163165\",\n \"0.47141817\",\n \"0.47089583\",\n \"0.47069725\",\n \"0.47067052\",\n \"0.47004554\",\n \"0.4698661\",\n \"0.4696508\",\n \"0.46929026\",\n \"0.4681642\",\n \"0.4675755\",\n \"0.46745446\",\n \"0.46661794\"\n]"},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":12397,"cells":{"query":{"kind":"string","value":"Returns the list of faces found."},"document":{"kind":"string","value":"public Observable findFacesUrlInputAsync(String contentType, BodyModelInner imageUrl, Boolean cacheImage) {\n return findFacesUrlInputWithServiceResponseAsync(contentType, imageUrl, cacheImage).map(new Func1, FoundFacesInner>() {\n @Override\n public FoundFacesInner call(ServiceResponse response) {\n return response.body();\n }\n });\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["public Face[] getFaces() {\n return faces;\n }","static FaceSegment[] allFaces() {\n FaceSegment[] faces = new FaceSegment[6];\n for (int i = 0; i < faces.length; i++) {\n faces[i] = new FaceSegment();\n }\n return faces;\n }","public int[][] getFaces() {\n\t\treturn this.faces;\n\t}","public int faces() { \n return this.faces; \n }","public int getFaces() {\n return this.faces;\n }","public Rect[] getFaceRects()\n {\n final String funcName = \"getFaceRects\";\n\n if (debugEnabled)\n {\n dbgTrace.traceEnter(funcName, TrcDbgTrace.TraceLevel.API);\n dbgTrace.traceExit(funcName, TrcDbgTrace.TraceLevel.API);\n }\n\n return faceRects;\n }","public Observable findFacesAsync() {\n return findFacesWithServiceResponseAsync().map(new Func1, FoundFacesInner>() {\n @Override\n public FoundFacesInner call(ServiceResponse response) {\n return response.body();\n }\n });\n }","public int[] getFace() {\n\t\treturn this.face;\n\t}","public Observable> findFacesWithServiceResponseAsync() {\n if (this.client.baseUrl() == null) {\n throw new IllegalArgumentException(\"Parameter this.client.baseUrl() is required and cannot be null.\");\n }\n final Boolean cacheImage = null;\n String parameterizedHost = Joiner.on(\", \").join(\"{baseUrl}\", this.client.baseUrl());\n return service.findFaces(cacheImage, this.client.acceptLanguage(), parameterizedHost, this.client.userAgent())\n .flatMap(new Func1, Observable>>() {\n @Override\n public Observable> call(Response response) {\n try {\n ServiceResponse clientResponse = findFacesDelegate(response);\n return Observable.just(clientResponse);\n } catch (Throwable t) {\n return Observable.error(t);\n }\n }\n });\n }","java.util.List getSurfaceRefs();","public int getFaceCount() {\r\n return faceCount;\r\n\t}","private Face chooseFace(ArrayList faces) {\n return faces.get(0);\n }","public ArrayList getOutsideFaceIndices()\n\t{\n\t\t// now collect the indices of all faces that are referenced only once, i.e. the outside faces\n\t\tArrayList outsideFaceIndices = new ArrayList();\n\t\tfor(int i=0; i pegaVerticesFolha() {\n List verticesFolha = new ArrayList();\n\n for (Vertice vertice : this.pegaTodosOsVerticesDoGrafo()) {\n if (this.getGrauDeSaida(vertice) == 0) {\n verticesFolha.add(vertice);\n }\n }\n\n return verticesFolha;\n }","public ArrayList< Card > getCheat() {\r\n ArrayList< Card > faces = new ArrayList<>();\r\n\r\n for ( Card card : cards ) {\r\n Card copy = new Card( card );\r\n copy.setFaceUp();\r\n faces.add( copy );\r\n }\r\n return faces;\r\n }","public FaceLandmarks faceLandmarks() {\n return this.faceLandmarks;\n }","private List processFaceResult(List faces, FirebaseVisionImage image, boolean keepOriginal) {\n final int FACE_IMG_WIDTH = 160;\n final int FACE_IMG_HEIGHT = 160;\n\n List facesInFrame = new ArrayList<>();\n for (FirebaseVisionFace face : faces) {\n Rect bounds = face.getBoundingBox();\n Bitmap bitmap = cropBitmap(image.getBitmap(), bounds);\n if(keepOriginal == false) {\n bitmap = Bitmap.createScaledBitmap(bitmap, FACE_IMG_WIDTH, FACE_IMG_HEIGHT, true);\n }\n facesInFrame.add(bitmap);\n\n }\n return facesInFrame;\n }","public String getFace() {\n\t\treturn face;\n\t}","public Face getFaceVitoriosa() {\n return faceVitoriosa;\n }","public int getFace() {\n\t\treturn face;\n\t}","private void faceDetection(){\n\n String haarPath = resToFile(R.raw.haarcascade_frontalface_default, \"haarcascade_frontalface_default.xml\");\n String testPicPath = resToFile(R.drawable.test_me, \"test_me.jpg\");\n\n CascadeClassifier faceDetector = new CascadeClassifier();\n Mat image = imread(testPicPath);\n boolean isEmpty = image.empty();\n\n faceDetector = new CascadeClassifier(haarPath);\n if(faceDetector.empty())\n {\n Log.v(\"MyActivity\",\"--(!)Error loading A\\n\");\n return;\n }\n else\n {\n Log.v(\"MyActivity\", \"Loaded cascade classifier from \" + haarPath);\n }\n\n //My Code\n MatOfRect faceDetections = new MatOfRect();\n faceDetector.detectMultiScale(image, faceDetections);\n\n System.out.println(String.format(\"Detected %s faces\", faceDetections.toArray().length));\n\n for (Rect rect : faceDetections.toArray()) {\n Imgproc.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),\n new Scalar(0, 255, 0));\n// Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),\n// new Scalar(0, 255, 0));\n }\n\n Bitmap bm = Bitmap.createBitmap(image.cols(), image.rows(), Bitmap.Config.ARGB_8888);\n Utils.matToBitmap(image, bm);\n\n ImageView imageView = (ImageView) findViewById(R.id.imageView);\n imageView.setImageBitmap(bm);\n }","public static String detectFacesGcs(String gcsPath) throws IOException {\n \tSystem.out.println(\"Enter Face detection\");\n List requests = new ArrayList();\n StringBuilder sb = new StringBuilder();\n ImageSource imgSource = ImageSource.newBuilder().setGcsImageUri(gcsPath).build();\n Image img = Image.newBuilder().setSource(imgSource).build();\n Feature feat = Feature.newBuilder().setType(Feature.Type.FACE_DETECTION).build();\n \n AnnotateImageRequest request =\n AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).build();\n requests.add(request);\n try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {\n \t\tSystem.out.println(\" Face detection request sent\");\n BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);\n List responses = response.getResponsesList();\n System.out.println(\" Face detection response recieved\");\n for (AnnotateImageResponse res : responses) {\n if (res.hasError()) {\n System.out.format(\"Error: %s%n\", res.getError().getMessage());\n return \"\";\n }\n sb.append(\"{\");\n for (FaceAnnotation annotation : res.getFaceAnnotationsList()) {\n \t sb.append(\"\\\"anger\\\":\");sb.append('\"');\n \t sb.append(annotation.getAngerLikelihood().toString());\n \t sb.append('\"');sb.append(\",\");sb.append(\"\\\"joy\\\":\"); sb.append('\"');\n \t sb.append( annotation.getJoyLikelihood().toString());\n \t sb.append('\"'); sb.append(\",\");sb.append(\"\\\"suprise\\\":\");sb.append('\"');\n \t sb.append(annotation.getSurpriseLikelihood().toString());\n \t sb.append('\"');\n }\n sb.append(\"}\");}}return sb.toString();}","static Bitmap detectfaces(Context context, Bitmap bitmap){\n Timber.d(\" timber start building DETECTOR\");\n FaceDetector detector=new FaceDetector.Builder(context)\n .setTrackingEnabled(false)\n .setClassificationType(FaceDetector.ALL_CLASSIFICATIONS)\n .build();\n// detector.setProcessor(\n// new MultiProcessor.Builder<>(new GraphicFaceTrackerFactory())\n// .build());\n Timber.d(\" timber END building DETECTOR\");\n Bitmap resultBitmap = bitmap;\n if(detector.isOperational()) {\n Frame frame = new Frame.Builder().setBitmap(bitmap).build();\n Timber.d(\" timber START DETECTING FACES DETECTOR\");\n SparseArray faces = detector.detect(frame);\n Timber.d(\" timber END DETECTING FACES DETECTOR\");\n\n\n Timber.d(\"size of faces\" + faces.size());\n // Toast.makeText(context,\"number of faces detected = \"+faces.size(),Toast.LENGTH_LONG).show();\n if (faces.size() == 0) {\n Toast.makeText(context, \"No faces detected\", Toast.LENGTH_SHORT).show();\n } else {\n for (int i = 0; i < faces.size(); i++) {\n Face face = faces.valueAt(i);\n // getProbability(face);\n Emoji emo = whichEmoji(face);\n Bitmap emojibitmap;\n switch (emo) {\n case SMILE:\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.smile);\n break;\n\n case RIGHT_WINK:\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.rightwink);\n break;\n\n case LEFT_WINK:\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.leftwink);\n break;\n\n case CLOSED_EYE_SMILE:\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.closed_smile);\n break;\n\n case FROWN:\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.frown);\n break;\n\n case LEFT_WINK_FROWN:\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.leftwinkfrown);\n break;\n\n case RIGHT_WINK_FROWN:\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.rightwinkfrown);\n break;\n\n case CLOSED_EYE_FROWN:\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.closed_frown);\n break;\n default:\n emojibitmap = null;\n Toast.makeText(context, R.string.no_emoji, Toast.LENGTH_LONG).show();\n }\n\n resultBitmap = addBitmapToFace(resultBitmap, emojibitmap, face);\n }\n }\n }else{\n Toast.makeText(context,\"detector failed\",Toast.LENGTH_SHORT).show();\n }\n detector.release();\n return resultBitmap;\n }","public static @NonNull List getAvailableFamilies() {\n Map> familyMap = new TreeMap<>(String.CASE_INSENSITIVE_ORDER);\n\n synchronized (TypefaceManager.class) {\n sortTypefaces();\n\n for (Typeface typeface : typefaces) {\n List entryList = familyMap.get(typeface.getFamilyName());\n if (entryList == null) {\n entryList = new ArrayList<>();\n familyMap.put(typeface.getFamilyName(), entryList);\n }\n\n entryList.add(typeface);\n }\n }\n\n List familyList = new ArrayList<>(familyMap.size());\n\n for (Map.Entry> entry : familyMap.entrySet()) {\n String familyName = entry.getKey();\n List typefaces = entry.getValue();\n\n familyList.add(new TypeFamily(familyName, typefaces));\n }\n\n return Collections.unmodifiableList(familyList);\n }","public ArrayList getAllDetects(){\n return orderedLandingPads;\n }","public ArrayList getFoundFurniture(){\n return foundFurniture;\n }","private static List getDescriptors(Mat[] faces, String name) {\n \tList ret = new ArrayList();\n\t\tfor(int i = 0; i < faces.length; i++){\n \t\t// define a copy of the image in order to prevent extract method to modify the original properties\n \t\tMat tmpImg = new Mat(faces[i]);\n \t\tString id = i + \"_\" + name;\n \t\tfloat[] features = extractor.extract(tmpImg, ExtractionParameters.DEEP_LAYER);\n \t\tImgDescriptor tmp = new ImgDescriptor(features, id);\n \t\tret.add(tmp);\n \t\tSystem.out.println(\"Extracting features for \" + id);\n \t}\n\t\t\n\t\treturn ret;\n\t}","boolean allFacesPainted() {\n\n\n for (int i = 0; i < s; i ++){\n if (the_cube[i] == false){\n return false;\n\n }\n }\n return true;\n }","public interface FaceInterface {\n List getFacePoints();\n\n List getLeftEyePoints();\n\n List getRightEyePoints();\n\n public List transformPoints(DrawingViewConfig config, boolean mirrorPoints);\n\n public RectF getEyesRect();\n public Emotions getEmotions();\n Emojis getEmojis();\n Appearance getAppearance();\n}","public static void detectFaces(File file) throws Exception, IOException {\r\n\t\t List requests = new ArrayList<>();\r\n System.out.println(file.getPath());\r\n\r\n \r\n //convert picture file into original ByteString object and set values to request for google vision API\r\n\t\t ByteString imgBytes = ByteString.readFrom(new FileInputStream(file));\r\n\r\n\t\t Image img = Image.newBuilder().setContent(imgBytes).build();\r\n\t\t Feature feat = Feature.newBuilder().setType(Type.FACE_DETECTION).build();\r\n\t\t AnnotateImageRequest request =\r\n\t\t AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).build();\r\n\t\t requests.add(request);\r\n\r\n //call google vision API engine and returns annotations of the image\r\n\t\t try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {\r\n\t\t BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);\r\n\t\t List responses = response.getResponsesList();\r\n\r\n\t\t for (AnnotateImageResponse res : responses) {\r\n\t\t if (res.hasError()) {\r\n\t\t System.out.printf(\"Error: %s\\n\", res.getError().getMessage());\r\n\t\t return;\r\n\t\t }\r\n\r\n\t\t // retrieve annotation value of each emotion\r\n\t\t for (FaceAnnotation annotation : res.getFaceAnnotationsList()) {\r\n\t\t int[] emoValue = {annotation.getAngerLikelihoodValue(),\r\n annotation.getJoyLikelihoodValue(),\r\n annotation.getSorrowLikelihoodValue(),\r\n annotation.getSurpriseLikelihoodValue(),\r\n };\r\n \r\n //choose highest annotation value of each emotion\r\n int max = 0;\r\n for (int i = 0; i < emoValue.length; i++){\r\n System.out.print(emoValue[i] + \" \");\r\n if (max < emoValue[i]){\r\n max = emoValue[i];\r\n index = i;\r\n }\r\n }\r\n //if all of emotion likelihood balue = 1, no expression\r\n if (max == 1){index = emotion.length-1;}\r\n System.out.println();\r\n System.out.println(emotion[index]);\r\n }\r\n\r\n\t\t }\r\n \r\n\t\t }catch (Exception e){\r\n System.out.println(e);\r\n }\r\n\r\n\t\t}","protected int getFace() {\n return face;\n }","public Fence[] getFences() {\n/* 601 */ if (this.fences != null)\n/* 602 */ return (Fence[])this.fences.values().toArray((Object[])new Fence[this.fences.size()]); \n/* 603 */ return emptyFences;\n/* */ }","public List facets() {\n return this.facets;\n }","public Observable findFacesAsync(Boolean cacheImage) {\n return findFacesWithServiceResponseAsync(cacheImage).map(new Func1, FoundFacesInner>() {\n @Override\n public FoundFacesInner call(ServiceResponse response) {\n return response.body();\n }\n });\n }","public int getFace(){\n return face;\n }","public static @NonNull List getAvailableTypefaces() {\n synchronized (TypefaceManager.class) {\n sortTypefaces();\n\n return Collections.unmodifiableList(new ArrayList<>(typefaces));\n }\n }","public java.util.List getFeatureList()\r\n {\r\n final class FeatureList extends java.util.AbstractList\r\n {\r\n public org.landxml.schema.landXML11.FeatureDocument.Feature get(int i)\r\n { return SurfaceImpl.this.getFeatureArray(i); }\r\n \r\n public org.landxml.schema.landXML11.FeatureDocument.Feature set(int i, org.landxml.schema.landXML11.FeatureDocument.Feature o)\r\n {\r\n org.landxml.schema.landXML11.FeatureDocument.Feature old = SurfaceImpl.this.getFeatureArray(i);\r\n SurfaceImpl.this.setFeatureArray(i, o);\r\n return old;\r\n }\r\n \r\n public void add(int i, org.landxml.schema.landXML11.FeatureDocument.Feature o)\r\n { SurfaceImpl.this.insertNewFeature(i).set(o); }\r\n \r\n public org.landxml.schema.landXML11.FeatureDocument.Feature remove(int i)\r\n {\r\n org.landxml.schema.landXML11.FeatureDocument.Feature old = SurfaceImpl.this.getFeatureArray(i);\r\n SurfaceImpl.this.removeFeature(i);\r\n return old;\r\n }\r\n \r\n public int size()\r\n { return SurfaceImpl.this.sizeOfFeatureArray(); }\r\n \r\n }\r\n \r\n synchronized (monitor())\r\n {\r\n check_orphaned();\r\n return new FeatureList();\r\n }\r\n }","public final Face getFace() {\n\t\treturn this.face;\n\t}","List getFeatureList();","private ArrayList getOutsideFaceIndicesBeforeAllInfoHasBeenInferred()\n\t{\n\t\t// go through all the simplices and count how often each face is referenced;\n\t\t// inside faces are referenced twice, outside faces once\n\t\t\n\t\t// set up an array that will contain the reference counts for each face\n\t\tint[] faceRefs = new int[faces.size()];\n\t\tfor(int i=0; ith face of the simplex\n\t\t\t\tfaceRefs[simplexFaceIndices[i]]++;\n\t\t\t}\n\t\t}\n\t\t\n\t\t// now collect the indices of all faces that are referenced only once, i.e. the outside faces\n\t\tArrayList outsideFaceIndices = new ArrayList();\n\t\tfor(int i=0; i listAllFamilyMembers() {\n if (isFamilyMemberMapNullOrEmpty(familyMemberMap)) {\n return new ArrayList<>();\n }\n return new ArrayList<>(familyMemberMap.values());\n }","public void checkFaces()\n\tthrows InconsistencyException\n\t{\n\t\t// first check if faces is non-null\n\t\tif(faces == null)\n\t\t\tthrow new InconsistencyException(\"The ArrayList faces should be non-null, but is null.\");\n\n\t\t// check that all vertices are referenced at least three times, as each is the vertex of at least one simplex\n\t\t// and in each simplex three faces meet at each vertex;\n\t\t// also check that all edges are referenced at least two times\n\t\t\n\t\t// create an array of ints that will hold the number of references to each vertex in the list of faces...\n\t\tint[] vertexReferences = new int[vertices.size()];\n\t\t// ... and one that will hold the number of references to each edge...\n\t\tint[] edgeReferences = new int[edges.size()];\n\t\t\n\t\t// ... and set all these reference counts initially to zero\n\t\tfor(int i=0; i= 3\n\t\tfor(int i=0; i= 3 times, but is referenced only \" + vertexReferences[i] + \" times.\"));\n\t\t\t}\n\t\t}\n\n\t\t// check that all edge reference counts are >= 2\n\t\tfor(int i=0; i= 2 times, but is referenced only \" + edgeReferences[i] + \" times.\"));\n\t\t\t}\n\t\t}\n\t}","public ArrayList getMyFamilymembers() {\n\t\treturn myFamilymembers;\n\t}","public String getFace()\r\n {\r\n face = \"[\";\r\n if (color != \"none\")\r\n {\r\n face += this.color + \" \";\r\n }\r\n // Switch sttements to set diffrent faces \r\n switch(this.value)\r\n {\r\n default: face += String.valueOf(this.value); \r\n break;\r\n case 10: face += \"Skip\"; \r\n break;\r\n case 11: face += \"Reverse\"; \r\n break;\r\n case 12: face += \"Draw 2\"; \r\n break;\r\n case 13: face += \"Wild\"; \r\n break;\r\n case 14: face += \"Wild Draw 4\"; \r\n break;\r\n }\r\n face += \"]\";\r\n return face;\r\n }","public Vector3f[] getFaceVertices(int faceNumber) {\n\n\t\tint segmentNumber = 0;\n\n\t\tint indexNumber = faceNumber;\n\n\t\t// debug.println(\"segmentNumber, indexNumber = \" + segmentNumber + \" \" +\n\t\t// indexNumber);\n\n\t\twhile (indexNumber >= getIndexCountInSegment(segmentNumber)) {\n\t\t\tindexNumber -= getIndexCountInSegment(segmentNumber);\n\t\t\tsegmentNumber++;\n\t\t}\n\n\t\t// debug.println(\"segmentNumber, indexNumber = \" + segmentNumber + \" \" +\n\t\t// indexNumber);\n\n\t\tint[] vertindexes = getModelVerticeIndicesInSegment(segmentNumber, indexNumber);\n\n\t\t// parent.println(vertindexes);\n\n\t\tVector3f[] tmp = new Vector3f[vertindexes.length];\n\n\t\tfor (int i = 0; i < tmp.length; i++) {\n\t\t\ttmp[i] = new Vector3f();\n\t\t\ttmp[i].set(getModelVertice(vertindexes[i]));\n\t\t}\n\n\t\treturn tmp;\n\t}","@Override\r\n public void onSuccess(List faces) {\n detectFaces(faces, mutableImage);\r\n hideProgress();\r\n bottom_sheet_recycler.getAdapter().notifyDataSetChanged();\r\n bottomSheetBehavior.setState(BottomSheetBehavior.STATE_EXPANDED);\r\n\r\n faceDetectionCameraView.stop();\r\n\r\n imageView.setVisibility(View.VISIBLE);\r\n imageView.setImageBitmap(mutableImage);\r\n }","public Observable> findFacesWithServiceResponseAsync(Boolean cacheImage) {\n if (this.client.baseUrl() == null) {\n throw new IllegalArgumentException(\"Parameter this.client.baseUrl() is required and cannot be null.\");\n }\n String parameterizedHost = Joiner.on(\", \").join(\"{baseUrl}\", this.client.baseUrl());\n return service.findFaces(cacheImage, this.client.acceptLanguage(), parameterizedHost, this.client.userAgent())\n .flatMap(new Func1, Observable>>() {\n @Override\n public Observable> call(Response response) {\n try {\n ServiceResponse clientResponse = findFacesDelegate(response);\n return Observable.just(clientResponse);\n } catch (Throwable t) {\n return Observable.error(t);\n }\n }\n });\n }","public ArrayList getFavoritePairs() {\n ArrayList favPairs = new ArrayList<>();\n for(Landmark landmark : landmarks.getFavorites()) {\n favPairs.add(new String[]{landmark.getName(), landmark.getLocation().toString(), landmark.getDescription()});\n }\n return favPairs;\n }","public FaceRectangle faceRectangle() {\n return this.faceRectangle;\n }","public ArrayList getListFraisH() {\n return listeFraisHf;\n }","public static BufferedImage detectFace(BufferedImage newPhoto) {\n\t\tIplImage faceImage = IplImage.createFrom(newPhoto);\n\t\tCvHaarClassifierCascade cascade = new CvHaarClassifierCascade(cvLoad(\"res/haarcascade_frontalface_default.xml\"));\n\t\tCvMemStorage storage = CvMemStorage.create();\n\t\tCvSeq sign = cvHaarDetectObjects(faceImage, cascade, storage, 1.1, 3, CV_HAAR_DO_CANNY_PRUNING);\n\t\tcvClearMemStorage(storage);\n\t\t\n\t\t//if not faces detected, returns null.\n\t\tif (sign.total() == 0){\n\t\t\tnewPhoto = null;\n\t\t\tSystem.out.println(\"No Face\");\n\t\t}\n\t\t\n\t\telse {\n\t\t\tIplImage newImage; //IplImage used to temporarily hold the face\n\t\t\tint biggest = 0; //location of biggest face\n\t\t\tint biggestSize = 0; //height of biggest face\n\t\t\tCvRect r;\n\t\t\tfor (int i = 0; i < sign.total(); i++){\n\t\t\t\tr = new CvRect(cvGetSeqElem(sign, i));\n\t\t\t\t\n\t\t\t\tif (r.height() > biggestSize){\n\t\t\t\t\tbiggest = i;\n\t\t\t\t\tbiggestSize = r.height();\n\t\t\t\t}\n\t\n\t\t\t}\n\t\t\tcvResetImageROI(faceImage);\n\t\t\tr = new CvRect(cvGetSeqElem(sign, biggest));\n\t\t\tcvSetImageROI(faceImage, r);\n\t\t\t//sets size of newImage to same as face\n\t\t\tnewImage = cvCreateImage(cvGetSize(faceImage), faceImage.depth(), faceImage.nChannels());\n\t\t\t//Copies the face into newImage\n\t\t\tcvCopy(faceImage, newImage);\n\t\t\tcvResetImageROI(faceImage);\n\t\t\t//Converts back to BufferedImage\n\t\t\tnewPhoto = newImage.getBufferedImage();\n\t\t}\n\t\t//If null = no faces detected\n\t\treturn newPhoto;\n\t}","public List facets() {\n return this.facets;\n }","String[] getFamilyNames() {\n\t\treturn this.familyMap.keySet().toArray(new String[this.familyMap.size()]);\n\t}","@Override\n protected Face[] doInBackground(InputStream... params) {\n FaceServiceClient faceServiceClient = SampleApp.getFaceServiceClient();\n try {\n publishProgress(\"Detecting...\");\n\n // Start detection.\n return faceServiceClient.detect(\n params[0], /* Input stream of image to detect */\n true, /* Whether to return face ID */\n true, /* Whether to return face landmarks */\n /* Which face attributes to analyze, currently we support:\n age,gender,headPose,smile,facialHair */\n new FaceServiceClient.FaceAttributeType[]{\n FaceServiceClient.FaceAttributeType.Age,\n FaceServiceClient.FaceAttributeType.Gender,\n FaceServiceClient.FaceAttributeType.Smile,\n FaceServiceClient.FaceAttributeType.Glasses,\n FaceServiceClient.FaceAttributeType.FacialHair,\n FaceServiceClient.FaceAttributeType.Emotion,\n FaceServiceClient.FaceAttributeType.HeadPose,\n FaceServiceClient.FaceAttributeType.Accessories,\n FaceServiceClient.FaceAttributeType.Blur,\n FaceServiceClient.FaceAttributeType.Exposure,\n FaceServiceClient.FaceAttributeType.Hair,\n FaceServiceClient.FaceAttributeType.Makeup,\n FaceServiceClient.FaceAttributeType.Noise,\n FaceServiceClient.FaceAttributeType.Occlusion\n });\n\n\n } catch (Exception e) {\n mSucceed = false;\n publishProgress(e.getMessage());\n return null;\n }\n }","java.util.List getFeatureList();","java.util.List getFeatureList();","public static ArrayList getColorsDetected() {\n return colorsDetected;\n }","@Override\n protected Face[] doInBackground(InputStream... params) {\n FaceServiceClient faceServiceClient = SampleApp.getFaceServiceClient();\n try {\n publishProgress(\"Detecting...\");\n\n // Start detection.\n return faceServiceClient.detect(\n params[0], /* Input stream of image to detect */\n true, /* Whether to return face ID */\n true, /* Whether to return face landmarks */\n /* Which face attributes to analyze, currently we support:\n age,gender,headPose,smile,facialHair */\n new FaceServiceClient.FaceAttributeType[] {\n FaceServiceClient.FaceAttributeType.Age,\n FaceServiceClient.FaceAttributeType.Gender,\n FaceServiceClient.FaceAttributeType.Smile,\n FaceServiceClient.FaceAttributeType.Glasses,\n FaceServiceClient.FaceAttributeType.FacialHair,\n FaceServiceClient.FaceAttributeType.Emotion,\n FaceServiceClient.FaceAttributeType.HeadPose,\n FaceServiceClient.FaceAttributeType.Accessories,\n FaceServiceClient.FaceAttributeType.Blur,\n FaceServiceClient.FaceAttributeType.Exposure,\n FaceServiceClient.FaceAttributeType.Hair,\n FaceServiceClient.FaceAttributeType.Makeup,\n FaceServiceClient.FaceAttributeType.Noise,\n FaceServiceClient.FaceAttributeType.Occlusion\n });\n } catch (Exception e) {\n mSucceed = false;\n publishProgress(e.getMessage());\n return null;\n }\n }","List getVisibleShapes();","public void inferFacesFromEdges()\n\tthrows InconsistencyException\n\t{\n\t\t// first empty the list of faces\n\t\tif(faces == null)\n\t\t\tfaces = new ArrayList();\n\t\telse\n\t\t\tfaces.clear();\n\n\t\t// go through all vertices\n\t\tfor(int v=0; vv\n\t\t\t// (if w indicesOfEdgesAtVertex = new ArrayList();\n\t\t\t\n\t\t\t// ... and populating it by going through all the edges\n\t\t\tfor(int e=0; ev?\n\t\t\t\tif(edges.get(e).getOtherVertexIndex(v) > v)\n\t\t\t\t{\n\t\t\t\t\t// yes\n\t\t\t\t\t\n\t\t\t\t\t// add it to the list of edges that start or finish at this vertex\n\t\t\t\t\tindicesOfEdgesAtVertex.add(e);\n\t\t\t\t}\n\t\t\t}\n\t\t\t\n\t\t\t// System.out.println(\"SimplicialComplex::inferFacesFromEdges: indices of edges meeting at vertex #\"+v+\": \" + indicesOfEdgesAtVertex.toString());\n\t\t\t\n\t\t\t// second, go through all pairs of edges that start or finish at vertex #v;\n\t\t\t// each such pair represents two of the three edges of a face that meets at vertex #v\n\t\t\tfor(int e1=0; e1 getFeatures();","public Set getAlleFragen() {\r\n Set result = new HashSet();\r\n Set fragen = dataStore.getAlleFragen();\r\n for (FrageDTO dto : fragen) {\r\n int frageId = dto.getId();\r\n List antworten = dataStore.getAntwortenById(frageId);\r\n List votes = dataStore.getVotings(frageId);\r\n Frage frage = new Frage(dto.getId(), dto.getText(),\r\n dto.getStatus(), antworten, votes);\r\n result.add(frage);\r\n }\r\n return result;\r\n }","public List getFaceRects(long startTime, long endTime) {\n if(frameDataMap == null){\n return Collections.emptyList();\n }\n List result = new ArrayList<>();\n final int size = frameDataMap.size();\n for (int i = 0; i < size ; i++) {\n long key = CommonUtils.timeToFrame(frameDataMap.keyAt(i), TimeUnit.SECONDS);\n if(key >= startTime && key <= endTime){\n FrameFaceRects faceRects = frameDataMap.valueAt(i).getFaceRects();\n if(faceRects != null) {\n result.add(faceRects);\n }\n }\n }\n return result;\n }","public static String[] getFamilyNames() {\n if (fonts == null) {\n getAllFonts();\n }\n\n return (String[]) families.toArray(new String[0]);\n }","@Override\n public void onUpdate(FaceDetector.Detections detectionResults, Face face)\n {\n int facesFound = detectionResults.getDetectedItems().size();\n\n faceTrackingListener.onFaceDetected(facesFound);\n }","public Set getSupportedCubes();","public FriendList[] getFriendsLists();","boolean hasFaceUp();","public List> getVertices() {\n return mFactoryVertices;\n }","@DISPID(1610940431) //= 0x6005000f. The runtime will prefer the VTID if present\n @VTID(37)\n Collection userSurfaces();","public List getMessages() {\n return FxJsfUtils.getMessages(null);\n }","public void startFaceDetection() {\n /*\n r6 = this;\n r0 = r6.mFaceDetectionStarted;\n if (r0 != 0) goto L_0x004a;\n L_0x0004:\n r0 = r6.mCameraDevice;\n if (r0 == 0) goto L_0x004a;\n L_0x0008:\n r0 = r6.needFaceDetection();\n if (r0 != 0) goto L_0x000f;\n L_0x000e:\n goto L_0x004a;\n L_0x000f:\n r0 = r6.mCameraCapabilities;\n r0 = r0.getMaxNumOfFacesSupported();\n if (r0 <= 0) goto L_0x0049;\n L_0x0017:\n r0 = 1;\n r6.mFaceDetectionStarted = r0;\n r1 = r6.mCameraDevice;\n r2 = r6.mHandler;\n r3 = r6.mUI;\n r1.setFaceDetectionCallback(r2, r3);\n r1 = r6.mUI;\n r2 = r6.mDisplayOrientation;\n r3 = r6.isCameraFrontFacing();\n r4 = r6.mCameraId;\n r4 = r6.cropRegionForZoom(r4);\n r5 = 1065353216; // 0x3f800000 float:1.0 double:5.263544247E-315;\n r1.onStartFaceDetection(r2, r3, r4, r5);\n r1 = TAG;\n r2 = \"startFaceDetection\";\n com.hmdglobal.app.camera.debug.Log.w(r1, r2);\n r1 = r6.mCameraDevice;\n r1.startFaceDetection();\n r1 = com.hmdglobal.app.camera.util.SessionStatsCollector.instance();\n r1.faceScanActive(r0);\n L_0x0049:\n return;\n L_0x004a:\n return;\n */\n throw new UnsupportedOperationException(\"Method not decompiled: com.hmdglobal.app.camera.PhotoModule.startFaceDetection():void\");\n }","public Fence[] getAllFences() {\n/* 622 */ Set fenceSet = new HashSet<>();\n/* 623 */ if (this.fences != null)\n/* */ {\n/* 625 */ for (Fence f : this.fences.values())\n/* */ {\n/* 627 */ fenceSet.add(f);\n/* */ }\n/* */ }\n/* */ \n/* 631 */ VolaTile eastTile = this.zone.getTileOrNull(this.tilex + 1, this.tiley);\n/* 632 */ if (eastTile != null) {\n/* */ \n/* 634 */ Fence[] eastFences = eastTile.getFencesForDir(Tiles.TileBorderDirection.DIR_DOWN);\n/* 635 */ for (int x = 0; x < eastFences.length; x++)\n/* */ {\n/* 637 */ fenceSet.add(eastFences[x]);\n/* */ }\n/* */ } \n/* */ \n/* 641 */ VolaTile southTile = this.zone.getTileOrNull(this.tilex, this.tiley + 1);\n/* 642 */ if (southTile != null) {\n/* */ \n/* 644 */ Fence[] southFences = southTile.getFencesForDir(Tiles.TileBorderDirection.DIR_HORIZ);\n/* 645 */ for (int x = 0; x < southFences.length; x++)\n/* */ {\n/* 647 */ fenceSet.add(southFences[x]);\n/* */ }\n/* */ } \n/* */ \n/* 651 */ if (fenceSet.size() == 0) {\n/* 652 */ return emptyFences;\n/* */ }\n/* 654 */ return fenceSet.toArray(new Fence[fenceSet.size()]);\n/* */ }","public void recognize(){\n\t String dirOfFace =\".\\\\Faces\";\n\t String dirOfTestFaces =\".\\\\TestFaces\";\n\t \n\t File root = new File(dirOfFace);\n File Testfaces = new File(dirOfTestFaces);\n FilenameFilter imgFilter = new FilenameFilter() {\n\n public boolean accept(File dir, String name) {\n\n name = name.toLowerCase();\n\n return name.endsWith(\".jpg\") || name.endsWith(\".pgm\") || name.endsWith(\".png\");\n\n }\n\n };\n \n File[] imageFiles = Testfaces.listFiles(imgFilter);\n for (File image : imageFiles) {\n Recognizer fd = new Recognizer();\n int rollno=0;\n rollno = fd.returnPredict(image,root);\n System.out.println(rollno);\n try {\n db.AttendenceTable(rollno);\n } catch (ClassNotFoundException ex) {\n JOptionPane.showMessageDialog(null, ex);\n }\n }\n\n\n }","public ArrayList loadFavorites() {\n\n\t\tSAVE_FILE = FAVORITE_FILE;\n\t\tArrayList list = new ArrayList();\n\t\tlist = loadIds();\n\t\treturn list;\n\t}","public java.util.List getVertices();","boolean getFaceDetectionPref();","public interface FaceTrackingListener {\n void onFaceLeftMove();\n void onFaceRightMove();\n void onFaceUpMove();\n void onFaceDownMove();\n void onGoodSmile();\n void onEyeCloseError();\n void onMouthOpenError();\n void onMultipleFaceError();\n\n}","public void FPrimeEvent(ArrayList> faces) {\r\n \tint u1 = CUBE7, l1 = CUBE9, r1 = CUBE1, b1 = CUBE3;\r\n \tfor(int i = 0; i < 3; i++) {\r\n \t\tColor color = faces.get(TOP).get(u1).getColor();\r\n \tfaces.get(TOP).get(u1).changeColor(faces.get(RIGHT).get(r1).getColor());\r\n \tfaces.get(RIGHT).get(r1).changeColor(faces.get(BOTTOM).get(b1).getColor());\r\n \tfaces.get(BOTTOM).get(b1).changeColor(faces.get(LEFT).get(l1).getColor());\r\n \tfaces.get(LEFT).get(l1).changeColor(color);\r\n \tu1++;\r\n \tl1 -= SHIFT_ROW;\r\n \tb1--;\r\n \tr1 += SHIFT_ROW;\r\n \t} \r\n \r\n \tColor color = faces.get(FRONT).get(CUBE1).getColor();\r\n \tfaces.get(FRONT).get(CUBE1).changeColor(faces.get(FRONT).get(CUBE3).getColor());\r\n \tfaces.get(FRONT).get(CUBE3).changeColor(faces.get(FRONT).get(CUBE9).getColor());\r\n \tfaces.get(FRONT).get(CUBE9).changeColor(faces.get(FRONT).get(CUBE7).getColor());\r\n \tfaces.get(FRONT).get(CUBE7).changeColor(color);\r\n \tcolor = faces.get(FRONT).get(CUBE2).getColor();\r\n \tfaces.get(FRONT).get(CUBE2).changeColor(faces.get(FRONT).get(CUBE6).getColor());\r\n \tfaces.get(FRONT).get(CUBE6).changeColor(faces.get(FRONT).get(CUBE8).getColor());\r\n \tfaces.get(FRONT).get(CUBE8).changeColor(faces.get(FRONT).get(CUBE4).getColor());\r\n \tfaces.get(FRONT).get(CUBE4).changeColor(color);\r\n }","public FamilyInfo[] getFamilyInfo() {\n return familyInfo;\n }","public ArrayList getNeighbors();","public Figure[] getFigures() {\n return figures;\n }","public static List getRegisteredEssences() {\n ArrayList essences = new ArrayList();\n MagicStaffs.ITEMS\n .stream()\n .filter(item -> item instanceof IEssence)\n .forEach(item -> essences.add((IEssence) item));\n return essences;\n }","public boolean needFaceDetection() {\n return true;\n }","java.util.List \n getFigureListList();","public static ArrayList getAvailableFamilies() {\n ArrayList allFamilies = new ArrayList();\n File dir = new File(getRapidSmithPath() + File.separator + \"devices\");\n if (!dir.exists()) {\n MessageGenerator.briefErrorAndExit(\"ERROR: No part files exist. Please run \" +\n Installer.class.getCanonicalName() + \" to create part files.\");\n }\n for (String partFamily : dir.list()) {\n FamilyType type = PartNameTools.getFamilyTypeFromFamilyName(partFamily);\n if (type != null) allFamilies.add(type);\n }\n\n return allFamilies;\n }","java.util.List \n getEdgeList();","protected abstract void setFaces();","public java.util.List getFeatureList()\r\n {\r\n final class FeatureList extends java.util.AbstractList\r\n {\r\n public org.landxml.schema.landXML11.FeatureDocument.Feature get(int i)\r\n { return IntersectionImpl.this.getFeatureArray(i); }\r\n \r\n public org.landxml.schema.landXML11.FeatureDocument.Feature set(int i, org.landxml.schema.landXML11.FeatureDocument.Feature o)\r\n {\r\n org.landxml.schema.landXML11.FeatureDocument.Feature old = IntersectionImpl.this.getFeatureArray(i);\r\n IntersectionImpl.this.setFeatureArray(i, o);\r\n return old;\r\n }\r\n \r\n public void add(int i, org.landxml.schema.landXML11.FeatureDocument.Feature o)\r\n { IntersectionImpl.this.insertNewFeature(i).set(o); }\r\n \r\n public org.landxml.schema.landXML11.FeatureDocument.Feature remove(int i)\r\n {\r\n org.landxml.schema.landXML11.FeatureDocument.Feature old = IntersectionImpl.this.getFeatureArray(i);\r\n IntersectionImpl.this.removeFeature(i);\r\n return old;\r\n }\r\n \r\n public int size()\r\n { return IntersectionImpl.this.sizeOfFeatureArray(); }\r\n \r\n }\r\n \r\n synchronized (monitor())\r\n {\r\n check_orphaned();\r\n return new FeatureList();\r\n }\r\n }","public void startFaceDetection() {\n /*\n r4 = this;\n r0 = r4.mFaceDetectionStarted;\n if (r0 != 0) goto L_0x0036;\n L_0x0004:\n r0 = r4.mCameraDevice;\n if (r0 == 0) goto L_0x0036;\n L_0x0008:\n r0 = r4.needFaceDetection();\n if (r0 != 0) goto L_0x000f;\n L_0x000e:\n goto L_0x0036;\n L_0x000f:\n r0 = r4.mCameraCapabilities;\n r0 = r0.getMaxNumOfFacesSupported();\n if (r0 <= 0) goto L_0x0035;\n L_0x0017:\n r0 = 1;\n r4.mFaceDetectionStarted = r0;\n r1 = TAG;\n r2 = \"startFaceDetection\";\n com.hmdglobal.app.camera.debug.Log.w(r1, r2);\n r1 = r4.mCameraDevice;\n r2 = r4.mHandler;\n r3 = 0;\n r1.setFaceDetectionCallback(r2, r3);\n r1 = r4.mCameraDevice;\n r1.startFaceDetection();\n r1 = com.hmdglobal.app.camera.util.SessionStatsCollector.instance();\n r1.faceScanActive(r0);\n L_0x0035:\n return;\n L_0x0036:\n return;\n */\n throw new UnsupportedOperationException(\"Method not decompiled: com.hmdglobal.app.camera.VideoModule.startFaceDetection():void\");\n }","public Fence[] getFencesForDir(Tiles.TileBorderDirection dir) {\n/* 713 */ if (this.fences != null) {\n/* */ \n/* 715 */ Set fenceSet = new HashSet<>();\n/* 716 */ for (Fence f : this.fences.values()) {\n/* */ \n/* 718 */ if (f.getDir() == dir)\n/* 719 */ fenceSet.add(f); \n/* */ } \n/* 721 */ return fenceSet.toArray(new Fence[fenceSet.size()]);\n/* */ } \n/* */ \n/* 724 */ return emptyFences;\n/* */ }","public List getGenders()\r\n\t{\r\n\t\treturn getGenders( getSession().getSessionContext() );\r\n\t}","public RubiksFace getRubiksFace(RubiksFace.RubiksFacePosition position) {\n for (RubiksFace face : rubiksFaceList) {\n if (face.getFacePosition() == position) {\n return face;\n }\n }\n\n return null;\n }","public int getFaceValue ()\n {\n return faceValue;\n }"],"string":"[\n \"public Face[] getFaces() {\\n return faces;\\n }\",\n \"static FaceSegment[] allFaces() {\\n FaceSegment[] faces = new FaceSegment[6];\\n for (int i = 0; i < faces.length; i++) {\\n faces[i] = new FaceSegment();\\n }\\n return faces;\\n }\",\n \"public int[][] getFaces() {\\n\\t\\treturn this.faces;\\n\\t}\",\n \"public int faces() { \\n return this.faces; \\n }\",\n \"public int getFaces() {\\n return this.faces;\\n }\",\n \"public Rect[] getFaceRects()\\n {\\n final String funcName = \\\"getFaceRects\\\";\\n\\n if (debugEnabled)\\n {\\n dbgTrace.traceEnter(funcName, TrcDbgTrace.TraceLevel.API);\\n dbgTrace.traceExit(funcName, TrcDbgTrace.TraceLevel.API);\\n }\\n\\n return faceRects;\\n }\",\n \"public Observable findFacesAsync() {\\n return findFacesWithServiceResponseAsync().map(new Func1, FoundFacesInner>() {\\n @Override\\n public FoundFacesInner call(ServiceResponse response) {\\n return response.body();\\n }\\n });\\n }\",\n \"public int[] getFace() {\\n\\t\\treturn this.face;\\n\\t}\",\n \"public Observable> findFacesWithServiceResponseAsync() {\\n if (this.client.baseUrl() == null) {\\n throw new IllegalArgumentException(\\\"Parameter this.client.baseUrl() is required and cannot be null.\\\");\\n }\\n final Boolean cacheImage = null;\\n String parameterizedHost = Joiner.on(\\\", \\\").join(\\\"{baseUrl}\\\", this.client.baseUrl());\\n return service.findFaces(cacheImage, this.client.acceptLanguage(), parameterizedHost, this.client.userAgent())\\n .flatMap(new Func1, Observable>>() {\\n @Override\\n public Observable> call(Response response) {\\n try {\\n ServiceResponse clientResponse = findFacesDelegate(response);\\n return Observable.just(clientResponse);\\n } catch (Throwable t) {\\n return Observable.error(t);\\n }\\n }\\n });\\n }\",\n \"java.util.List getSurfaceRefs();\",\n \"public int getFaceCount() {\\r\\n return faceCount;\\r\\n\\t}\",\n \"private Face chooseFace(ArrayList faces) {\\n return faces.get(0);\\n }\",\n \"public ArrayList getOutsideFaceIndices()\\n\\t{\\n\\t\\t// now collect the indices of all faces that are referenced only once, i.e. the outside faces\\n\\t\\tArrayList outsideFaceIndices = new ArrayList();\\n\\t\\tfor(int i=0; i pegaVerticesFolha() {\\n List verticesFolha = new ArrayList();\\n\\n for (Vertice vertice : this.pegaTodosOsVerticesDoGrafo()) {\\n if (this.getGrauDeSaida(vertice) == 0) {\\n verticesFolha.add(vertice);\\n }\\n }\\n\\n return verticesFolha;\\n }\",\n \"public ArrayList< Card > getCheat() {\\r\\n ArrayList< Card > faces = new ArrayList<>();\\r\\n\\r\\n for ( Card card : cards ) {\\r\\n Card copy = new Card( card );\\r\\n copy.setFaceUp();\\r\\n faces.add( copy );\\r\\n }\\r\\n return faces;\\r\\n }\",\n \"public FaceLandmarks faceLandmarks() {\\n return this.faceLandmarks;\\n }\",\n \"private List processFaceResult(List faces, FirebaseVisionImage image, boolean keepOriginal) {\\n final int FACE_IMG_WIDTH = 160;\\n final int FACE_IMG_HEIGHT = 160;\\n\\n List facesInFrame = new ArrayList<>();\\n for (FirebaseVisionFace face : faces) {\\n Rect bounds = face.getBoundingBox();\\n Bitmap bitmap = cropBitmap(image.getBitmap(), bounds);\\n if(keepOriginal == false) {\\n bitmap = Bitmap.createScaledBitmap(bitmap, FACE_IMG_WIDTH, FACE_IMG_HEIGHT, true);\\n }\\n facesInFrame.add(bitmap);\\n\\n }\\n return facesInFrame;\\n }\",\n \"public String getFace() {\\n\\t\\treturn face;\\n\\t}\",\n \"public Face getFaceVitoriosa() {\\n return faceVitoriosa;\\n }\",\n \"public int getFace() {\\n\\t\\treturn face;\\n\\t}\",\n \"private void faceDetection(){\\n\\n String haarPath = resToFile(R.raw.haarcascade_frontalface_default, \\\"haarcascade_frontalface_default.xml\\\");\\n String testPicPath = resToFile(R.drawable.test_me, \\\"test_me.jpg\\\");\\n\\n CascadeClassifier faceDetector = new CascadeClassifier();\\n Mat image = imread(testPicPath);\\n boolean isEmpty = image.empty();\\n\\n faceDetector = new CascadeClassifier(haarPath);\\n if(faceDetector.empty())\\n {\\n Log.v(\\\"MyActivity\\\",\\\"--(!)Error loading A\\\\n\\\");\\n return;\\n }\\n else\\n {\\n Log.v(\\\"MyActivity\\\", \\\"Loaded cascade classifier from \\\" + haarPath);\\n }\\n\\n //My Code\\n MatOfRect faceDetections = new MatOfRect();\\n faceDetector.detectMultiScale(image, faceDetections);\\n\\n System.out.println(String.format(\\\"Detected %s faces\\\", faceDetections.toArray().length));\\n\\n for (Rect rect : faceDetections.toArray()) {\\n Imgproc.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),\\n new Scalar(0, 255, 0));\\n// Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),\\n// new Scalar(0, 255, 0));\\n }\\n\\n Bitmap bm = Bitmap.createBitmap(image.cols(), image.rows(), Bitmap.Config.ARGB_8888);\\n Utils.matToBitmap(image, bm);\\n\\n ImageView imageView = (ImageView) findViewById(R.id.imageView);\\n imageView.setImageBitmap(bm);\\n }\",\n \"public static String detectFacesGcs(String gcsPath) throws IOException {\\n \\tSystem.out.println(\\\"Enter Face detection\\\");\\n List requests = new ArrayList();\\n StringBuilder sb = new StringBuilder();\\n ImageSource imgSource = ImageSource.newBuilder().setGcsImageUri(gcsPath).build();\\n Image img = Image.newBuilder().setSource(imgSource).build();\\n Feature feat = Feature.newBuilder().setType(Feature.Type.FACE_DETECTION).build();\\n \\n AnnotateImageRequest request =\\n AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).build();\\n requests.add(request);\\n try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {\\n \\t\\tSystem.out.println(\\\" Face detection request sent\\\");\\n BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);\\n List responses = response.getResponsesList();\\n System.out.println(\\\" Face detection response recieved\\\");\\n for (AnnotateImageResponse res : responses) {\\n if (res.hasError()) {\\n System.out.format(\\\"Error: %s%n\\\", res.getError().getMessage());\\n return \\\"\\\";\\n }\\n sb.append(\\\"{\\\");\\n for (FaceAnnotation annotation : res.getFaceAnnotationsList()) {\\n \\t sb.append(\\\"\\\\\\\"anger\\\\\\\":\\\");sb.append('\\\"');\\n \\t sb.append(annotation.getAngerLikelihood().toString());\\n \\t sb.append('\\\"');sb.append(\\\",\\\");sb.append(\\\"\\\\\\\"joy\\\\\\\":\\\"); sb.append('\\\"');\\n \\t sb.append( annotation.getJoyLikelihood().toString());\\n \\t sb.append('\\\"'); sb.append(\\\",\\\");sb.append(\\\"\\\\\\\"suprise\\\\\\\":\\\");sb.append('\\\"');\\n \\t sb.append(annotation.getSurpriseLikelihood().toString());\\n \\t sb.append('\\\"');\\n }\\n sb.append(\\\"}\\\");}}return sb.toString();}\",\n \"static Bitmap detectfaces(Context context, Bitmap bitmap){\\n Timber.d(\\\" timber start building DETECTOR\\\");\\n FaceDetector detector=new FaceDetector.Builder(context)\\n .setTrackingEnabled(false)\\n .setClassificationType(FaceDetector.ALL_CLASSIFICATIONS)\\n .build();\\n// detector.setProcessor(\\n// new MultiProcessor.Builder<>(new GraphicFaceTrackerFactory())\\n// .build());\\n Timber.d(\\\" timber END building DETECTOR\\\");\\n Bitmap resultBitmap = bitmap;\\n if(detector.isOperational()) {\\n Frame frame = new Frame.Builder().setBitmap(bitmap).build();\\n Timber.d(\\\" timber START DETECTING FACES DETECTOR\\\");\\n SparseArray faces = detector.detect(frame);\\n Timber.d(\\\" timber END DETECTING FACES DETECTOR\\\");\\n\\n\\n Timber.d(\\\"size of faces\\\" + faces.size());\\n // Toast.makeText(context,\\\"number of faces detected = \\\"+faces.size(),Toast.LENGTH_LONG).show();\\n if (faces.size() == 0) {\\n Toast.makeText(context, \\\"No faces detected\\\", Toast.LENGTH_SHORT).show();\\n } else {\\n for (int i = 0; i < faces.size(); i++) {\\n Face face = faces.valueAt(i);\\n // getProbability(face);\\n Emoji emo = whichEmoji(face);\\n Bitmap emojibitmap;\\n switch (emo) {\\n case SMILE:\\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.smile);\\n break;\\n\\n case RIGHT_WINK:\\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.rightwink);\\n break;\\n\\n case LEFT_WINK:\\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.leftwink);\\n break;\\n\\n case CLOSED_EYE_SMILE:\\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.closed_smile);\\n break;\\n\\n case FROWN:\\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.frown);\\n break;\\n\\n case LEFT_WINK_FROWN:\\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.leftwinkfrown);\\n break;\\n\\n case RIGHT_WINK_FROWN:\\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.rightwinkfrown);\\n break;\\n\\n case CLOSED_EYE_FROWN:\\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.closed_frown);\\n break;\\n default:\\n emojibitmap = null;\\n Toast.makeText(context, R.string.no_emoji, Toast.LENGTH_LONG).show();\\n }\\n\\n resultBitmap = addBitmapToFace(resultBitmap, emojibitmap, face);\\n }\\n }\\n }else{\\n Toast.makeText(context,\\\"detector failed\\\",Toast.LENGTH_SHORT).show();\\n }\\n detector.release();\\n return resultBitmap;\\n }\",\n \"public static @NonNull List getAvailableFamilies() {\\n Map> familyMap = new TreeMap<>(String.CASE_INSENSITIVE_ORDER);\\n\\n synchronized (TypefaceManager.class) {\\n sortTypefaces();\\n\\n for (Typeface typeface : typefaces) {\\n List entryList = familyMap.get(typeface.getFamilyName());\\n if (entryList == null) {\\n entryList = new ArrayList<>();\\n familyMap.put(typeface.getFamilyName(), entryList);\\n }\\n\\n entryList.add(typeface);\\n }\\n }\\n\\n List familyList = new ArrayList<>(familyMap.size());\\n\\n for (Map.Entry> entry : familyMap.entrySet()) {\\n String familyName = entry.getKey();\\n List typefaces = entry.getValue();\\n\\n familyList.add(new TypeFamily(familyName, typefaces));\\n }\\n\\n return Collections.unmodifiableList(familyList);\\n }\",\n \"public ArrayList getAllDetects(){\\n return orderedLandingPads;\\n }\",\n \"public ArrayList getFoundFurniture(){\\n return foundFurniture;\\n }\",\n \"private static List getDescriptors(Mat[] faces, String name) {\\n \\tList ret = new ArrayList();\\n\\t\\tfor(int i = 0; i < faces.length; i++){\\n \\t\\t// define a copy of the image in order to prevent extract method to modify the original properties\\n \\t\\tMat tmpImg = new Mat(faces[i]);\\n \\t\\tString id = i + \\\"_\\\" + name;\\n \\t\\tfloat[] features = extractor.extract(tmpImg, ExtractionParameters.DEEP_LAYER);\\n \\t\\tImgDescriptor tmp = new ImgDescriptor(features, id);\\n \\t\\tret.add(tmp);\\n \\t\\tSystem.out.println(\\\"Extracting features for \\\" + id);\\n \\t}\\n\\t\\t\\n\\t\\treturn ret;\\n\\t}\",\n \"boolean allFacesPainted() {\\n\\n\\n for (int i = 0; i < s; i ++){\\n if (the_cube[i] == false){\\n return false;\\n\\n }\\n }\\n return true;\\n }\",\n \"public interface FaceInterface {\\n List getFacePoints();\\n\\n List getLeftEyePoints();\\n\\n List getRightEyePoints();\\n\\n public List transformPoints(DrawingViewConfig config, boolean mirrorPoints);\\n\\n public RectF getEyesRect();\\n public Emotions getEmotions();\\n Emojis getEmojis();\\n Appearance getAppearance();\\n}\",\n \"public static void detectFaces(File file) throws Exception, IOException {\\r\\n\\t\\t List requests = new ArrayList<>();\\r\\n System.out.println(file.getPath());\\r\\n\\r\\n \\r\\n //convert picture file into original ByteString object and set values to request for google vision API\\r\\n\\t\\t ByteString imgBytes = ByteString.readFrom(new FileInputStream(file));\\r\\n\\r\\n\\t\\t Image img = Image.newBuilder().setContent(imgBytes).build();\\r\\n\\t\\t Feature feat = Feature.newBuilder().setType(Type.FACE_DETECTION).build();\\r\\n\\t\\t AnnotateImageRequest request =\\r\\n\\t\\t AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).build();\\r\\n\\t\\t requests.add(request);\\r\\n\\r\\n //call google vision API engine and returns annotations of the image\\r\\n\\t\\t try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {\\r\\n\\t\\t BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);\\r\\n\\t\\t List responses = response.getResponsesList();\\r\\n\\r\\n\\t\\t for (AnnotateImageResponse res : responses) {\\r\\n\\t\\t if (res.hasError()) {\\r\\n\\t\\t System.out.printf(\\\"Error: %s\\\\n\\\", res.getError().getMessage());\\r\\n\\t\\t return;\\r\\n\\t\\t }\\r\\n\\r\\n\\t\\t // retrieve annotation value of each emotion\\r\\n\\t\\t for (FaceAnnotation annotation : res.getFaceAnnotationsList()) {\\r\\n\\t\\t int[] emoValue = {annotation.getAngerLikelihoodValue(),\\r\\n annotation.getJoyLikelihoodValue(),\\r\\n annotation.getSorrowLikelihoodValue(),\\r\\n annotation.getSurpriseLikelihoodValue(),\\r\\n };\\r\\n \\r\\n //choose highest annotation value of each emotion\\r\\n int max = 0;\\r\\n for (int i = 0; i < emoValue.length; i++){\\r\\n System.out.print(emoValue[i] + \\\" \\\");\\r\\n if (max < emoValue[i]){\\r\\n max = emoValue[i];\\r\\n index = i;\\r\\n }\\r\\n }\\r\\n //if all of emotion likelihood balue = 1, no expression\\r\\n if (max == 1){index = emotion.length-1;}\\r\\n System.out.println();\\r\\n System.out.println(emotion[index]);\\r\\n }\\r\\n\\r\\n\\t\\t }\\r\\n \\r\\n\\t\\t }catch (Exception e){\\r\\n System.out.println(e);\\r\\n }\\r\\n\\r\\n\\t\\t}\",\n \"protected int getFace() {\\n return face;\\n }\",\n \"public Fence[] getFences() {\\n/* 601 */ if (this.fences != null)\\n/* 602 */ return (Fence[])this.fences.values().toArray((Object[])new Fence[this.fences.size()]); \\n/* 603 */ return emptyFences;\\n/* */ }\",\n \"public List facets() {\\n return this.facets;\\n }\",\n \"public Observable findFacesAsync(Boolean cacheImage) {\\n return findFacesWithServiceResponseAsync(cacheImage).map(new Func1, FoundFacesInner>() {\\n @Override\\n public FoundFacesInner call(ServiceResponse response) {\\n return response.body();\\n }\\n });\\n }\",\n \"public int getFace(){\\n return face;\\n }\",\n \"public static @NonNull List getAvailableTypefaces() {\\n synchronized (TypefaceManager.class) {\\n sortTypefaces();\\n\\n return Collections.unmodifiableList(new ArrayList<>(typefaces));\\n }\\n }\",\n \"public java.util.List getFeatureList()\\r\\n {\\r\\n final class FeatureList extends java.util.AbstractList\\r\\n {\\r\\n public org.landxml.schema.landXML11.FeatureDocument.Feature get(int i)\\r\\n { return SurfaceImpl.this.getFeatureArray(i); }\\r\\n \\r\\n public org.landxml.schema.landXML11.FeatureDocument.Feature set(int i, org.landxml.schema.landXML11.FeatureDocument.Feature o)\\r\\n {\\r\\n org.landxml.schema.landXML11.FeatureDocument.Feature old = SurfaceImpl.this.getFeatureArray(i);\\r\\n SurfaceImpl.this.setFeatureArray(i, o);\\r\\n return old;\\r\\n }\\r\\n \\r\\n public void add(int i, org.landxml.schema.landXML11.FeatureDocument.Feature o)\\r\\n { SurfaceImpl.this.insertNewFeature(i).set(o); }\\r\\n \\r\\n public org.landxml.schema.landXML11.FeatureDocument.Feature remove(int i)\\r\\n {\\r\\n org.landxml.schema.landXML11.FeatureDocument.Feature old = SurfaceImpl.this.getFeatureArray(i);\\r\\n SurfaceImpl.this.removeFeature(i);\\r\\n return old;\\r\\n }\\r\\n \\r\\n public int size()\\r\\n { return SurfaceImpl.this.sizeOfFeatureArray(); }\\r\\n \\r\\n }\\r\\n \\r\\n synchronized (monitor())\\r\\n {\\r\\n check_orphaned();\\r\\n return new FeatureList();\\r\\n }\\r\\n }\",\n \"public final Face getFace() {\\n\\t\\treturn this.face;\\n\\t}\",\n \"List getFeatureList();\",\n \"private ArrayList getOutsideFaceIndicesBeforeAllInfoHasBeenInferred()\\n\\t{\\n\\t\\t// go through all the simplices and count how often each face is referenced;\\n\\t\\t// inside faces are referenced twice, outside faces once\\n\\t\\t\\n\\t\\t// set up an array that will contain the reference counts for each face\\n\\t\\tint[] faceRefs = new int[faces.size()];\\n\\t\\tfor(int i=0; ith face of the simplex\\n\\t\\t\\t\\tfaceRefs[simplexFaceIndices[i]]++;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\t// now collect the indices of all faces that are referenced only once, i.e. the outside faces\\n\\t\\tArrayList outsideFaceIndices = new ArrayList();\\n\\t\\tfor(int i=0; i listAllFamilyMembers() {\\n if (isFamilyMemberMapNullOrEmpty(familyMemberMap)) {\\n return new ArrayList<>();\\n }\\n return new ArrayList<>(familyMemberMap.values());\\n }\",\n \"public void checkFaces()\\n\\tthrows InconsistencyException\\n\\t{\\n\\t\\t// first check if faces is non-null\\n\\t\\tif(faces == null)\\n\\t\\t\\tthrow new InconsistencyException(\\\"The ArrayList faces should be non-null, but is null.\\\");\\n\\n\\t\\t// check that all vertices are referenced at least three times, as each is the vertex of at least one simplex\\n\\t\\t// and in each simplex three faces meet at each vertex;\\n\\t\\t// also check that all edges are referenced at least two times\\n\\t\\t\\n\\t\\t// create an array of ints that will hold the number of references to each vertex in the list of faces...\\n\\t\\tint[] vertexReferences = new int[vertices.size()];\\n\\t\\t// ... and one that will hold the number of references to each edge...\\n\\t\\tint[] edgeReferences = new int[edges.size()];\\n\\t\\t\\n\\t\\t// ... and set all these reference counts initially to zero\\n\\t\\tfor(int i=0; i= 3\\n\\t\\tfor(int i=0; i= 3 times, but is referenced only \\\" + vertexReferences[i] + \\\" times.\\\"));\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\t// check that all edge reference counts are >= 2\\n\\t\\tfor(int i=0; i= 2 times, but is referenced only \\\" + edgeReferences[i] + \\\" times.\\\"));\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"public ArrayList getMyFamilymembers() {\\n\\t\\treturn myFamilymembers;\\n\\t}\",\n \"public String getFace()\\r\\n {\\r\\n face = \\\"[\\\";\\r\\n if (color != \\\"none\\\")\\r\\n {\\r\\n face += this.color + \\\" \\\";\\r\\n }\\r\\n // Switch sttements to set diffrent faces \\r\\n switch(this.value)\\r\\n {\\r\\n default: face += String.valueOf(this.value); \\r\\n break;\\r\\n case 10: face += \\\"Skip\\\"; \\r\\n break;\\r\\n case 11: face += \\\"Reverse\\\"; \\r\\n break;\\r\\n case 12: face += \\\"Draw 2\\\"; \\r\\n break;\\r\\n case 13: face += \\\"Wild\\\"; \\r\\n break;\\r\\n case 14: face += \\\"Wild Draw 4\\\"; \\r\\n break;\\r\\n }\\r\\n face += \\\"]\\\";\\r\\n return face;\\r\\n }\",\n \"public Vector3f[] getFaceVertices(int faceNumber) {\\n\\n\\t\\tint segmentNumber = 0;\\n\\n\\t\\tint indexNumber = faceNumber;\\n\\n\\t\\t// debug.println(\\\"segmentNumber, indexNumber = \\\" + segmentNumber + \\\" \\\" +\\n\\t\\t// indexNumber);\\n\\n\\t\\twhile (indexNumber >= getIndexCountInSegment(segmentNumber)) {\\n\\t\\t\\tindexNumber -= getIndexCountInSegment(segmentNumber);\\n\\t\\t\\tsegmentNumber++;\\n\\t\\t}\\n\\n\\t\\t// debug.println(\\\"segmentNumber, indexNumber = \\\" + segmentNumber + \\\" \\\" +\\n\\t\\t// indexNumber);\\n\\n\\t\\tint[] vertindexes = getModelVerticeIndicesInSegment(segmentNumber, indexNumber);\\n\\n\\t\\t// parent.println(vertindexes);\\n\\n\\t\\tVector3f[] tmp = new Vector3f[vertindexes.length];\\n\\n\\t\\tfor (int i = 0; i < tmp.length; i++) {\\n\\t\\t\\ttmp[i] = new Vector3f();\\n\\t\\t\\ttmp[i].set(getModelVertice(vertindexes[i]));\\n\\t\\t}\\n\\n\\t\\treturn tmp;\\n\\t}\",\n \"@Override\\r\\n public void onSuccess(List faces) {\\n detectFaces(faces, mutableImage);\\r\\n hideProgress();\\r\\n bottom_sheet_recycler.getAdapter().notifyDataSetChanged();\\r\\n bottomSheetBehavior.setState(BottomSheetBehavior.STATE_EXPANDED);\\r\\n\\r\\n faceDetectionCameraView.stop();\\r\\n\\r\\n imageView.setVisibility(View.VISIBLE);\\r\\n imageView.setImageBitmap(mutableImage);\\r\\n }\",\n \"public Observable> findFacesWithServiceResponseAsync(Boolean cacheImage) {\\n if (this.client.baseUrl() == null) {\\n throw new IllegalArgumentException(\\\"Parameter this.client.baseUrl() is required and cannot be null.\\\");\\n }\\n String parameterizedHost = Joiner.on(\\\", \\\").join(\\\"{baseUrl}\\\", this.client.baseUrl());\\n return service.findFaces(cacheImage, this.client.acceptLanguage(), parameterizedHost, this.client.userAgent())\\n .flatMap(new Func1, Observable>>() {\\n @Override\\n public Observable> call(Response response) {\\n try {\\n ServiceResponse clientResponse = findFacesDelegate(response);\\n return Observable.just(clientResponse);\\n } catch (Throwable t) {\\n return Observable.error(t);\\n }\\n }\\n });\\n }\",\n \"public ArrayList getFavoritePairs() {\\n ArrayList favPairs = new ArrayList<>();\\n for(Landmark landmark : landmarks.getFavorites()) {\\n favPairs.add(new String[]{landmark.getName(), landmark.getLocation().toString(), landmark.getDescription()});\\n }\\n return favPairs;\\n }\",\n \"public FaceRectangle faceRectangle() {\\n return this.faceRectangle;\\n }\",\n \"public ArrayList getListFraisH() {\\n return listeFraisHf;\\n }\",\n \"public static BufferedImage detectFace(BufferedImage newPhoto) {\\n\\t\\tIplImage faceImage = IplImage.createFrom(newPhoto);\\n\\t\\tCvHaarClassifierCascade cascade = new CvHaarClassifierCascade(cvLoad(\\\"res/haarcascade_frontalface_default.xml\\\"));\\n\\t\\tCvMemStorage storage = CvMemStorage.create();\\n\\t\\tCvSeq sign = cvHaarDetectObjects(faceImage, cascade, storage, 1.1, 3, CV_HAAR_DO_CANNY_PRUNING);\\n\\t\\tcvClearMemStorage(storage);\\n\\t\\t\\n\\t\\t//if not faces detected, returns null.\\n\\t\\tif (sign.total() == 0){\\n\\t\\t\\tnewPhoto = null;\\n\\t\\t\\tSystem.out.println(\\\"No Face\\\");\\n\\t\\t}\\n\\t\\t\\n\\t\\telse {\\n\\t\\t\\tIplImage newImage; //IplImage used to temporarily hold the face\\n\\t\\t\\tint biggest = 0; //location of biggest face\\n\\t\\t\\tint biggestSize = 0; //height of biggest face\\n\\t\\t\\tCvRect r;\\n\\t\\t\\tfor (int i = 0; i < sign.total(); i++){\\n\\t\\t\\t\\tr = new CvRect(cvGetSeqElem(sign, i));\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tif (r.height() > biggestSize){\\n\\t\\t\\t\\t\\tbiggest = i;\\n\\t\\t\\t\\t\\tbiggestSize = r.height();\\n\\t\\t\\t\\t}\\n\\t\\n\\t\\t\\t}\\n\\t\\t\\tcvResetImageROI(faceImage);\\n\\t\\t\\tr = new CvRect(cvGetSeqElem(sign, biggest));\\n\\t\\t\\tcvSetImageROI(faceImage, r);\\n\\t\\t\\t//sets size of newImage to same as face\\n\\t\\t\\tnewImage = cvCreateImage(cvGetSize(faceImage), faceImage.depth(), faceImage.nChannels());\\n\\t\\t\\t//Copies the face into newImage\\n\\t\\t\\tcvCopy(faceImage, newImage);\\n\\t\\t\\tcvResetImageROI(faceImage);\\n\\t\\t\\t//Converts back to BufferedImage\\n\\t\\t\\tnewPhoto = newImage.getBufferedImage();\\n\\t\\t}\\n\\t\\t//If null = no faces detected\\n\\t\\treturn newPhoto;\\n\\t}\",\n \"public List facets() {\\n return this.facets;\\n }\",\n \"String[] getFamilyNames() {\\n\\t\\treturn this.familyMap.keySet().toArray(new String[this.familyMap.size()]);\\n\\t}\",\n \"@Override\\n protected Face[] doInBackground(InputStream... params) {\\n FaceServiceClient faceServiceClient = SampleApp.getFaceServiceClient();\\n try {\\n publishProgress(\\\"Detecting...\\\");\\n\\n // Start detection.\\n return faceServiceClient.detect(\\n params[0], /* Input stream of image to detect */\\n true, /* Whether to return face ID */\\n true, /* Whether to return face landmarks */\\n /* Which face attributes to analyze, currently we support:\\n age,gender,headPose,smile,facialHair */\\n new FaceServiceClient.FaceAttributeType[]{\\n FaceServiceClient.FaceAttributeType.Age,\\n FaceServiceClient.FaceAttributeType.Gender,\\n FaceServiceClient.FaceAttributeType.Smile,\\n FaceServiceClient.FaceAttributeType.Glasses,\\n FaceServiceClient.FaceAttributeType.FacialHair,\\n FaceServiceClient.FaceAttributeType.Emotion,\\n FaceServiceClient.FaceAttributeType.HeadPose,\\n FaceServiceClient.FaceAttributeType.Accessories,\\n FaceServiceClient.FaceAttributeType.Blur,\\n FaceServiceClient.FaceAttributeType.Exposure,\\n FaceServiceClient.FaceAttributeType.Hair,\\n FaceServiceClient.FaceAttributeType.Makeup,\\n FaceServiceClient.FaceAttributeType.Noise,\\n FaceServiceClient.FaceAttributeType.Occlusion\\n });\\n\\n\\n } catch (Exception e) {\\n mSucceed = false;\\n publishProgress(e.getMessage());\\n return null;\\n }\\n }\",\n \"java.util.List getFeatureList();\",\n \"java.util.List getFeatureList();\",\n \"public static ArrayList getColorsDetected() {\\n return colorsDetected;\\n }\",\n \"@Override\\n protected Face[] doInBackground(InputStream... params) {\\n FaceServiceClient faceServiceClient = SampleApp.getFaceServiceClient();\\n try {\\n publishProgress(\\\"Detecting...\\\");\\n\\n // Start detection.\\n return faceServiceClient.detect(\\n params[0], /* Input stream of image to detect */\\n true, /* Whether to return face ID */\\n true, /* Whether to return face landmarks */\\n /* Which face attributes to analyze, currently we support:\\n age,gender,headPose,smile,facialHair */\\n new FaceServiceClient.FaceAttributeType[] {\\n FaceServiceClient.FaceAttributeType.Age,\\n FaceServiceClient.FaceAttributeType.Gender,\\n FaceServiceClient.FaceAttributeType.Smile,\\n FaceServiceClient.FaceAttributeType.Glasses,\\n FaceServiceClient.FaceAttributeType.FacialHair,\\n FaceServiceClient.FaceAttributeType.Emotion,\\n FaceServiceClient.FaceAttributeType.HeadPose,\\n FaceServiceClient.FaceAttributeType.Accessories,\\n FaceServiceClient.FaceAttributeType.Blur,\\n FaceServiceClient.FaceAttributeType.Exposure,\\n FaceServiceClient.FaceAttributeType.Hair,\\n FaceServiceClient.FaceAttributeType.Makeup,\\n FaceServiceClient.FaceAttributeType.Noise,\\n FaceServiceClient.FaceAttributeType.Occlusion\\n });\\n } catch (Exception e) {\\n mSucceed = false;\\n publishProgress(e.getMessage());\\n return null;\\n }\\n }\",\n \"List getVisibleShapes();\",\n \"public void inferFacesFromEdges()\\n\\tthrows InconsistencyException\\n\\t{\\n\\t\\t// first empty the list of faces\\n\\t\\tif(faces == null)\\n\\t\\t\\tfaces = new ArrayList();\\n\\t\\telse\\n\\t\\t\\tfaces.clear();\\n\\n\\t\\t// go through all vertices\\n\\t\\tfor(int v=0; vv\\n\\t\\t\\t// (if w indicesOfEdgesAtVertex = new ArrayList();\\n\\t\\t\\t\\n\\t\\t\\t// ... and populating it by going through all the edges\\n\\t\\t\\tfor(int e=0; ev?\\n\\t\\t\\t\\tif(edges.get(e).getOtherVertexIndex(v) > v)\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t// yes\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t// add it to the list of edges that start or finish at this vertex\\n\\t\\t\\t\\t\\tindicesOfEdgesAtVertex.add(e);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\t// System.out.println(\\\"SimplicialComplex::inferFacesFromEdges: indices of edges meeting at vertex #\\\"+v+\\\": \\\" + indicesOfEdgesAtVertex.toString());\\n\\t\\t\\t\\n\\t\\t\\t// second, go through all pairs of edges that start or finish at vertex #v;\\n\\t\\t\\t// each such pair represents two of the three edges of a face that meets at vertex #v\\n\\t\\t\\tfor(int e1=0; e1 getFeatures();\",\n \"public Set getAlleFragen() {\\r\\n Set result = new HashSet();\\r\\n Set fragen = dataStore.getAlleFragen();\\r\\n for (FrageDTO dto : fragen) {\\r\\n int frageId = dto.getId();\\r\\n List antworten = dataStore.getAntwortenById(frageId);\\r\\n List votes = dataStore.getVotings(frageId);\\r\\n Frage frage = new Frage(dto.getId(), dto.getText(),\\r\\n dto.getStatus(), antworten, votes);\\r\\n result.add(frage);\\r\\n }\\r\\n return result;\\r\\n }\",\n \"public List getFaceRects(long startTime, long endTime) {\\n if(frameDataMap == null){\\n return Collections.emptyList();\\n }\\n List result = new ArrayList<>();\\n final int size = frameDataMap.size();\\n for (int i = 0; i < size ; i++) {\\n long key = CommonUtils.timeToFrame(frameDataMap.keyAt(i), TimeUnit.SECONDS);\\n if(key >= startTime && key <= endTime){\\n FrameFaceRects faceRects = frameDataMap.valueAt(i).getFaceRects();\\n if(faceRects != null) {\\n result.add(faceRects);\\n }\\n }\\n }\\n return result;\\n }\",\n \"public static String[] getFamilyNames() {\\n if (fonts == null) {\\n getAllFonts();\\n }\\n\\n return (String[]) families.toArray(new String[0]);\\n }\",\n \"@Override\\n public void onUpdate(FaceDetector.Detections