ch.zhaw.facerecognition.Activities.TrainingActivity.java Source code

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Here is the source code for ch.zhaw.facerecognition.Activities.TrainingActivity.java

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/* Copyright 2016 Michael Sladoje and Mike Schlchli. All Rights Reserved.
    
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
    
http://www.apache.org/licenses/LICENSE-2.0
    
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

package ch.zhaw.facerecognition.Activities;

import android.app.Activity;
import android.content.Intent;
import android.content.SharedPreferences;
import android.os.Handler;
import android.os.Looper;
import android.preference.PreferenceManager;
import android.os.Bundle;
import android.text.method.ScrollingMovementMethod;
import android.widget.TextView;

import org.opencv.android.OpenCVLoader;
import org.opencv.core.Mat;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;

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

import ch.zhaw.facerecognitionlibrary.Helpers.FileHelper;
import ch.zhaw.facerecognitionlibrary.Helpers.MatName;
import ch.zhaw.facerecognitionlibrary.Helpers.PreferencesHelper;
import ch.zhaw.facerecognitionlibrary.PreProcessor.PreProcessorFactory;
import ch.zhaw.facerecognition.R;
import ch.zhaw.facerecognitionlibrary.Recognition.Recognition;
import ch.zhaw.facerecognitionlibrary.Recognition.RecognitionFactory;

public class TrainingActivity extends Activity {
    private static final String TAG = "Training";
    TextView progress;
    Thread thread;

    static {
        if (!OpenCVLoader.initDebug()) {
            // Handle initialization error
        }
    }

    @Override
    protected void onCreate(Bundle savedInstanceState) {
        super.onCreate(savedInstanceState);
        setContentView(R.layout.activity_training);
        progress = (TextView) findViewById(R.id.progressText);
        progress.setMovementMethod(new ScrollingMovementMethod());
    }

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

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

                    FileHelper fileHelper = new FileHelper();
                    fileHelper.createDataFolderIfNotExsiting();
                    final File[] persons = fileHelper.getTrainingList();
                    if (persons.length > 0) {
                        Recognition rec = RecognitionFactory.getRecognitionAlgorithm(Recognition.TRAINING,
                                algorithm);
                        for (File person : persons) {
                            if (person.isDirectory()) {
                                File[] files = person.listFiles();
                                int counter = 1;
                                for (File file : files) {
                                    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);
                                        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
                                        String[] tokens = file.getParent().split("/");
                                        final String name = tokens[tokens.length - 1];

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

                                        rec.addImage(processedImage, name, false);

                                        //                                      fileHelper.saveCroppedImage(imgRgb, ppF, file, name, counter);

                                        // Update screen to show the progress
                                        final int counterPost = counter;
                                        final int filesLength = files.length;
                                        progress.post(new Runnable() {
                                            @Override
                                            public void run() {
                                                progress.append("Image " + counterPost + " of " + filesLength
                                                        + " from " + name + " imported.\n");
                                            }
                                        });

                                        counter++;
                                    }
                                }
                            }
                        }
                        final Intent intent = new Intent(getApplicationContext(), MainActivity.class);
                        intent.setFlags(Intent.FLAG_ACTIVITY_CLEAR_TOP);
                        if (rec.train()) {
                            intent.putExtra("training", "Training successful");
                        } else {
                            intent.putExtra("training", "Training failed");
                        }
                        handler.post(new Runnable() {
                            @Override
                            public void run() {
                                startActivity(intent);
                            }
                        });
                    } else {
                        Thread.currentThread().interrupt();
                    }
                }
            }
        });
        thread.start();
    }

    @Override
    protected void onPause() {
        super.onPause();
        thread.interrupt();
    }

    @Override
    protected void onStop() {
        super.onStop();
        thread.interrupt();
    }
}