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Unknown faces temporary detection (85+% accuracy) #55

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Unknown faces temporary detection (85+% accuracy) #55

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69 changes: 62 additions & 7 deletions app/src/main/java/ch/zhaw/facerecognition/Activities/TrainingActivity.java
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Original file line number Diff line number Diff line change
Expand Up @@ -31,6 +31,8 @@
import org.opencv.imgproc.Imgproc;

import java.io.File;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;

import ch.zhaw.facerecognitionlibrary.Helpers.FileHelper;
Expand All @@ -45,6 +47,7 @@ public class TrainingActivity extends Activity {
private static final String TAG = "Training";
TextView progress;
Thread thread;
ArrayList<File> arrayUnknownFace;

static {
if (!OpenCVLoader.initDebug()) {
Expand All @@ -61,29 +64,35 @@ protected void onCreate(Bundle savedInstanceState) {
}

@Override
public void onResume()
{
public void onResume() {
super.onResume();

arrayUnknownFace = new ArrayList<>();
final Handler handler = new Handler(Looper.getMainLooper());
thread = new Thread(new Runnable() {
public void run() {
if(!Thread.currentThread().isInterrupted()){
if (!Thread.currentThread().isInterrupted()) {
PreProcessorFactory ppF = new PreProcessorFactory(getApplicationContext());
PreferencesHelper preferencesHelper = new PreferencesHelper(getApplicationContext());
String algorithm = preferencesHelper.getClassificationMethod();

FileHelper fileHelper = new FileHelper();
fileHelper.createDataFolderIfNotExsiting();
final File[] persons = fileHelper.getTrainingList();
Arrays.sort(persons, new AlphanumFileComparator());

if (persons.length > 0) {
Recognition rec = RecognitionFactory.getRecognitionAlgorithm(getApplicationContext(), Recognition.TRAINING, algorithm);
for (File person : persons) {
if (person.isDirectory()){
if (person.isDirectory()) {
File[] files = person.listFiles();
int counter = 1;
for (File file : files) {
if (FileHelper.isFileAnImage(file)){
for (int i = 0; i < files.length; i++/*File file : files*/) {
File file = files[i];
if (i <7) {
arrayUnknownFace.add(file);
}

if (FileHelper.isFileAnImage(file)) {
Mat imgRgb = Imgcodecs.imread(file.getAbsolutePath());
Imgproc.cvtColor(imgRgb, imgRgb, Imgproc.COLOR_BGRA2RGBA);
Mat processedImage = new Mat();
Expand Down Expand Up @@ -124,6 +133,52 @@ public void run() {
}
}
}
if (arrayUnknownFace.size() > 0) {
String[] tokens = arrayUnknownFace.get(0).getParent().split("/");
String name = /*tokens[tokens.length - 1]+*/"???";
for (int i = 0; i < arrayUnknownFace.size(); i++) {
File file = arrayUnknownFace.get(i);
if (FileHelper.isFileAnImage(file)) {
Mat imgRgb = Imgcodecs.imread(file.getAbsolutePath());
Imgproc.cvtColor(imgRgb, imgRgb, Imgproc.COLOR_BGRA2RGBA);
Mat processedImage = new Mat();
imgRgb.copyTo(processedImage);
List<Mat> images = ppF.getProcessedImage(processedImage, PreProcessorFactory.PreprocessingMode.RECOGNITION);
if (images == null || images.size() > 1) {
// More than 1 face detected --> cannot use this file for training
continue;
} else {
processedImage = images.get(0);
}
if (processedImage.empty()) {
continue;
}

// The last token is the name --> Folder name = Person name




MatName m = new MatName("processedImage", processedImage);
fileHelper.saveMatToImage(m, FileHelper.DATA_PATH);

rec.addImage(processedImage, name, false);

final String finalName = name;
progress.post(new Runnable() {
@Override
public void run() {
progress.append("Image " + " from " + finalName + " imported.\n");
}
});

}

}

}


final Intent intent = new Intent(getApplicationContext(), MainActivity.class);
intent.setFlags(Intent.FLAG_ACTIVITY_CLEAR_TOP);
if (rec.train()) {
Expand Down