frogermcs

public class MainActivity extends AppCompatActivity {

    @Bind(R.id.tvFlat)
    TextView tvFlat;
    @Bind(R.id.tvJson)
    TextView tvJson;

    private RawDataReader rawDataReader;

    private ReposListJson reposListJson;

frogermcs

public abstract class BaseActivity extends AppCompatActivity {

    @Inject
    AnalyticsTools analyticsTools;

    @Override
    protected void onStart() {
        super.onStart();
        trackScreenView();
    }

frogermcs

@Scope
public @interface ActivityScope {
}

frogermcs

<?xml version="1.0" encoding="utf-8"?>
<LinearLayout
    xmlns:android="http://schemas.android.com/apk/res/android"
    xmlns:app="http://schemas.android.com/apk/res-auto"
    android:layout_width="match_parent"
    android:layout_height="match_parent"
    android:orientation="vertical">

    <com.custom.view.CustomButton
        android:id="@+id/btnOk"

frogermcs

<?xml version="1.0" encoding="utf-8"?>
<merge xmlns:android="http://schemas.android.com/apk/res/android"
       android:layout_width="match_parent"
       android:layout_height="match_parent">

    <frogermcs.io.likeanimation.DotsView
        android:id="@+id/vDotsView"
        android:layout_width="200dp"
        android:layout_height="200dp"
        android:layout_gravity="center"/>

frogermcs

private void runInferenceOnQuantizedModel(ByteBuffer byteBufferToClassify) {
    byte[][] result = new byte[1][labels.size()];
    interpreter.run(byteBufferToClassify, result);
    float[][] resultFloats = new float[1][labels.size()];
    byte[] bytes = result[0];
    for (int i = 0; i < bytes.length; i++) {
        float resultF = (bytes[i] & 0xff) / 255.f;
        resultFloats[0][i] = resultF;

    }

frogermcs

private byte[] pixelToChannelValuesQuant(int pixel) {
    byte[] rgbVals = new byte[3];
    rgbVals[0] = (byte) ((pixel >> 16) & 0xFF);
    rgbVals[1] = (byte) ((pixel >> 8) & 0xFF);
    rgbVals[2] = (byte) ((pixel) & 0xFF);
    return rgbVals;
}

frogermcs

my_training_data.zip
  |____accordion
  | |____001.jpg
  | |____002.jpg
  | |____003.jpg
  |____bass_guitar
  | |____hofner.gif
  | |____p-bass.png
  |____clavier
    |____well-tempered.jpg

frogermcs

Not true that <{0=1, 1=1, 2=1, 3=3, 4=0, 5=2, 6=1, 7=0, 8=1, 9=2, 10=2, 11=0, ... 29=1, 30=2, 31=3}> 
        contains exactly <{0=1, 1=1, 2=1, 3=3, 4=0, 5=2, 6=1, 7=0, 8=1, 9=2, 10=2, 11=0, ... 29=1, 30=2, 31=3}>. 
        It has the following entries with matching keys but different values: {16=(expected 2 but got 3), 20=(expected 2 but got 1)}
        at com.frogermcs.imageclassificationtester.MLModelTest.testClassificationBatch(MLModelTest.java:72)

frogermcs

@RunWith(AndroidJUnit4.class)
@LargeTest
public class MLModelTest {

    /* ... */

    @Test
    public void testClassificationBatch() throws IOException {
        ModelTestActivity activity = mainActivityActivityRule.getActivity();
        ModelClassificator modelClassificator = new ModelClassificator(activity, new FlowersConfig());