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20 hours ago •
tensorflow
tensorflow
Fixed ArrayIndexOutOfBoundsException
When installing the tensorflow-lite image-classification example on android for the first time, an ArrayIndexOutOfBoundsException occurs:
Process: org.tensorflow.lite.examples.classification, PID: 17165
java.lang.RuntimeException: Failure delivering result ResultInfo{who=@android:requestPermissions:, request=1, result=-1, data=Intent { act=android.content.pm.action.REQUEST_PERMISSIONS (has extras) }} to activity {org.tensorflow.lite.examples.classification/org.tensorflow.lite.examples.classification.ClassifierActivity}: java.lang.ArrayIndexOutOfBoundsException: length=1; index=1
at android.app.ActivityThread.deliverResults(ActivityThread.java:4538)
at android.app.ActivityThread.handleSendResult(ActivityThread.java:4580)
at android.app.servertransaction.ActivityResultItem.execute(ActivityResultItem.java:49)
at android.app.servertransaction.TransactionExecutor.executeCallbacks(TransactionExecutor.java:108)
at android.app.servertransaction.TransactionExecutor.execute(TransactionExecutor.java:68)
at android.app.ActivityThread$H.handleMessage(ActivityThread.java:1934)
at android.os.Handler.dispatchMessage(Handler.java:106)
at android.os.Looper.loop(Looper.java:193)
at android.app.ActivityThread.main(ActivityThread.java:6940)
at java.lang.reflect.Method.invoke(Native Method)
at com.android.internal.os.RuntimeInit$MethodAndArgsCaller.run(RuntimeInit.java:537)
at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:858)
Caused by: java.lang.ArrayIndexOutOfBoundsException: length=1; index=1
at org.tensorflow.lite.examples.classification.CameraActivity.onRequestPermissionsResult(CameraActivity.java:380)
at android.app.Activity.dispatchRequestPermissionsResult(Activity.java:7636)
at android.app.Activity.dispatchActivityResult(Activity.java:7486)
at android.app.ActivityThread.deliverResults(ActivityThread.java:4531)
at android.app.ActivityThread.handleSendResult(ActivityThread.java:4580)
at android.app.servertransaction.ActivityResultItem.execute(ActivityResultItem.java:49)
at android.app.servertransaction.TransactionExecutor.executeCallbacks(TransactionExecutor.java:108)
at android.app.servertransaction.TransactionExecutor.execute(TransactionExecutor.java:68)
at android.app.ActivityThread$H.handleMessage(ActivityThread.java:1934)
at android.os.Handler.dispatchMessage(Handler.java:106)
at android.os.Looper.loop(Looper.java:193)
at android.app.ActivityThread.main(ActivityThread.java:6940)
at java.lang.reflect.Method.invoke(Native Method)
at com.android.internal.os.RuntimeInit$MethodAndArgsCaller.run(RuntimeInit.java:537)
at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:858)```
/*
* Copyright 2019 The TensorFlow Authors. 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 org.tensorflow.lite.examples.classification;
import android.Manifest;
import android.app.Fragment;
import android.content.Context;
import android.content.pm.PackageManager;
import android.hardware.Camera;
import android.hardware.camera2.CameraAccessException;
import android.hardware.camera2.CameraCharacteristics;
import android.hardware.camera2.CameraManager;
import android.hardware.camera2.params.StreamConfigurationMap;
import android.media.Image;
import android.media.Image.Plane;
import android.media.ImageReader;
import android.media.ImageReader.OnImageAvailableListener;
import android.os.Build;
import android.os.Bundle;
import android.os.Handler;
import android.os.HandlerThread;
import android.os.Trace;
import androidx.annotation.NonNull;
import androidx.annotation.UiThread;
import androidx.appcompat.app.AppCompatActivity;
import androidx.appcompat.widget.Toolbar;
import android.speech.tts.TextToSpeech;
import android.util.Size;
import android.view.Surface;
import android.view.View;
import android.view.ViewTreeObserver;
import android.view.WindowManager;
import android.widget.AdapterView;
import android.widget.Button;
import android.widget.ImageView;
import android.widget.LinearLayout;
import android.widget.Spinner;
import android.widget.TextView;
import android.widget.Toast;
import com.google.android.material.bottomsheet.BottomSheetBehavior;
import java.nio.ByteBuffer;
import java.util.List;
import java.util.Locale;
import org.tensorflow.lite.examples.classification.env.ImageUtils;
import org.tensorflow.lite.examples.classification.env.Logger;
import org.tensorflow.lite.examples.classification.tflite.Classifier.Device;
import org.tensorflow.lite.examples.classification.tflite.Classifier.Model;
import org.tensorflow.lite.examples.classification.tflite.Classifier.Recognition;
public abstract class CameraActivity extends AppCompatActivity
implements OnImageAvailableListener,
Camera.PreviewCallback,
View.OnClickListener,
AdapterView.OnItemSelectedListener {
private static final Logger LOGGER = new Logger();
private static final int PERMISSIONS_REQUEST = 1;
private static final String PERMISSION_CAMERA = Manifest.permission.CAMERA;
protected int previewWidth = 0;
protected int previewHeight = 0;
private Handler handler;
private HandlerThread handlerThread;
private boolean useCamera2API;
private boolean isProcessingFrame = false;
private byte[][] yuvBytes = new byte[3][];
private int[] rgbBytes = null;
private int yRowStride;
private Runnable postInferenceCallback;
private Runnable imageConverter;
private LinearLayout bottomSheetLayout;
private LinearLayout gestureLayout;
private BottomSheetBehavior sheetBehavior;
protected TextView recognitionTextView,
recognition1TextView,
recognition2TextView,
recognitionValueTextView,
recognition1ValueTextView,
recognition2ValueTextView;
protected TextView frameValueTextView,
cropValueTextView,
cameraResolutionTextView,
rotationTextView,
inferenceTimeTextView;
protected ImageView bottomSheetArrowImageView;
private ImageView plusImageView, minusImageView;
private Spinner modelSpinner;
private Spinner deviceSpinner;
private TextView threadsTextView;
private Button button;
private Model model = Model.QUANTIZED;
private Device device = Device.CPU;
private int numThreads = -1;
TextToSpeech t1;
TextView text;
private float threshold = 0.9f;
@Override
protected void onCreate(final Bundle savedInstanceState) {
LOGGER.d("onCreate " + this);
super.onCreate(null);
getWindow().addFlags(WindowManager.LayoutParams.FLAG_KEEP_SCREEN_ON);
setContentView(R.layout.activity_camera);
Toolbar toolbar = findViewById(R.id.toolbar);
setSupportActionBar(toolbar);
getSupportActionBar().setDisplayShowTitleEnabled(false);
if (hasPermission()) {
setFragment();
} else {
requestPermission();
}
text=findViewById(R.id.currency);
button=findViewById(R.id.button);
threadsTextView = findViewById(R.id.threads);
plusImageView = findViewById(R.id.plus);
minusImageView = findViewById(R.id.minus);
modelSpinner = findViewById(R.id.model_spinner);
deviceSpinner = findViewById(R.id.device_spinner);
bottomSheetLayout = findViewById(R.id.bottom_sheet_layout);
gestureLayout = findViewById(R.id.gesture_layout);
sheetBehavior = BottomSheetBehavior.from(bottomSheetLayout);
bottomSheetArrowImageView = findViewById(R.id.bottom_sheet_arrow);
ViewTreeObserver vto = gestureLayout.getViewTreeObserver();
vto.addOnGlobalLayoutListener(
new ViewTreeObserver.OnGlobalLayoutListener() {
@Override
public void onGlobalLayout() {
if (Build.VERSION.SDK_INT < Build.VERSION_CODES.JELLY_BEAN) {
gestureLayout.getViewTreeObserver().removeGlobalOnLayoutListener(this);
} else {
gestureLayout.getViewTreeObserver().removeOnGlobalLayoutListener(this);
}
// int width = bottomSheetLayout.getMeasuredWidth();
int height = gestureLayout.getMeasuredHeight();
sheetBehavior.setPeekHeight(height);
}
});
sheetBehavior.setHideable(false);
sheetBehavior.setBottomSheetCallback(
new BottomSheetBehavior.BottomSheetCallback() {
@Override
public void onStateChanged(@NonNull View bottomSheet, int newState) {
switch (newState) {
case BottomSheetBehavior.STATE_HIDDEN:
break;
case BottomSheetBehavior.STATE_EXPANDED:
{
bottomSheetArrowImageView.setImageResource(R.drawable.icn_chevron_down);
}
break;
case BottomSheetBehavior.STATE_COLLAPSED:
{
bottomSheetArrowImageView.setImageResource(R.drawable.icn_chevron_up);
}
break;
case BottomSheetBehavior.STATE_DRAGGING:
break;
case BottomSheetBehavior.STATE_SETTLING:
bottomSheetArrowImageView.setImageResource(R.drawable.icn_chevron_up);
break;
}
}
@Override
public void onSlide(@NonNull View bottomSheet, float slideOffset) {}
});
recognitionTextView = findViewById(R.id.detected_item);
recognitionValueTextView = findViewById(R.id.detected_item_value);
recognition1TextView = findViewById(R.id.detected_item1);
recognition1ValueTextView = findViewById(R.id.detected_item1_value);
recognition2TextView = findViewById(R.id.detected_item2);
recognition2ValueTextView = findViewById(R.id.detected_item2_value);
frameValueTextView = findViewById(R.id.frame_info);
cropValueTextView = findViewById(R.id.crop_info);
cameraResolutionTextView = findViewById(R.id.view_info);
rotationTextView = findViewById(R.id.rotation_info);
inferenceTimeTextView = findViewById(R.id.inference_info);
modelSpinner.setOnItemSelectedListener(this);
deviceSpinner.setOnItemSelectedListener(this);
plusImageView.setOnClickListener(this);
minusImageView.setOnClickListener(this);
model = Model.valueOf(modelSpinner.getSelectedItem().toString().toUpperCase());
device = Device.valueOf(deviceSpinner.getSelectedItem().toString());
numThreads = Integer.parseInt(threadsTextView.getText().toString().trim());
}
protected int[] getRgbBytes() {
imageConverter.run();
return rgbBytes;
}
protected int getLuminanceStride() {
return yRowStride;
}
protected byte[] getLuminance() {
return yuvBytes[0];
}
/** Callback for android.hardware.Camera API */
@Override
public void onPreviewFrame(final byte[] bytes, final Camera camera) {
if (isProcessingFrame) {
LOGGER.w("Dropping frame!");
return;
}
try {
// Initialize the storage bitmaps once when the resolution is known.
if (rgbBytes == null) {
Camera.Size previewSize = camera.getParameters().getPreviewSize();
previewHeight = previewSize.height;
previewWidth = previewSize.width;
rgbBytes = new int[previewWidth * previewHeight];
onPreviewSizeChosen(new Size(previewSize.width, previewSize.height), 90);
}
} catch (final Exception e) {
LOGGER.e(e, "Exception!");
return;
}
isProcessingFrame = true;
yuvBytes[0] = bytes;
yRowStride = previewWidth;
imageConverter =
new Runnable() {
@Override
public void run() {
ImageUtils.convertYUV420SPToARGB8888(bytes, previewWidth, previewHeight, rgbBytes);
}
};
postInferenceCallback =
new Runnable() {
@Override
public void run() {
camera.addCallbackBuffer(bytes);
isProcessingFrame = false;
}
};
processImage();
}
/** Callback for Camera2 API */
@Override
public void onImageAvailable(final ImageReader reader) {
// We need wait until we have some size from onPreviewSizeChosen
if (previewWidth == 0 || previewHeight == 0) {
return;
}
if (rgbBytes == null) {
rgbBytes = new int[previewWidth * previewHeight];
}
try {
final Image image = reader.acquireLatestImage();
if (image == null) {
return;
}
if (isProcessingFrame) {
image.close();
return;
}
isProcessingFrame = true;
Trace.beginSection("imageAvailable");
final Plane[] planes = image.getPlanes();
fillBytes(planes, yuvBytes);
yRowStride = planes[0].getRowStride();
final int uvRowStride = planes[1].getRowStride();
final int uvPixelStride = planes[1].getPixelStride();
imageConverter =
new Runnable() {
@Override
public void run() {
ImageUtils.convertYUV420ToARGB8888(
yuvBytes[0],
yuvBytes[1],
yuvBytes[2],
previewWidth,
previewHeight,
yRowStride,
uvRowStride,
uvPixelStride,
rgbBytes);
}
};
postInferenceCallback =
new Runnable() {
@Override
public void run() {
image.close();
isProcessingFrame = false;
}
};
processImage();
} catch (final Exception e) {
LOGGER.e(e, "Exception!");
Trace.endSection();
return;
}
Trace.endSection();
}
@Override
public synchronized void onStart() {
LOGGER.d("onStart " + this);
super.onStart();
t1=new TextToSpeech(getApplicationContext(), new TextToSpeech.OnInitListener() {
@Override
public void onInit(int status) {
if(status != TextToSpeech.ERROR) {
t1.setLanguage(Locale.UK);
}
}
});
}
@Override
public synchronized void onResume() {
LOGGER.d("onResume " + this);
super.onResume();
handlerThread = new HandlerThread("inference");
handlerThread.start();
handler = new Handler(handlerThread.getLooper());
}
@Override
public synchronized void onPause() {
LOGGER.d("onPause " + this);
handlerThread.quitSafely();
try {
handlerThread.join();
handlerThread = null;
handler = null;
} catch (final InterruptedException e) {
LOGGER.e(e, "Exception!");
}
super.onPause();
}
@Override
public synchronized void onStop() {
LOGGER.d("onStop " + this);
super.onStop();
}
@Override
public synchronized void onDestroy() {
LOGGER.d("onDestroy " + this);
super.onDestroy();
}
protected synchronized void runInBackground(final Runnable r) {
if (handler != null) {
handler.post(r);
}
}
@Override
public void onRequestPermissionsResult(
final int requestCode, @NonNull final String[] permissions, @NonNull final int[] grantResults) {
if (requestCode == PERMISSIONS_REQUEST) { //ISSUE HERE
if (grantResults.length > 0
&& grantResults[0] == PackageManager.PERMISSION_GRANTED
&& grantResults[1] == PackageManager.PERMISSION_GRANTED)
{
setFragment();
}
else {
requestPermission();
}
}
}
private boolean hasPermission() {
if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.M) {
return checkSelfPermission(PERMISSION_CAMERA) == PackageManager.PERMISSION_GRANTED;
} else {
return true;
}
}
private void requestPermission() {
if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.M) {
if (shouldShowRequestPermissionRationale(PERMISSION_CAMERA)) {
Toast.makeText(
CameraActivity.this,
"Camera permission is required for this demo",
Toast.LENGTH_LONG)
.show();
}
requestPermissions(new String[] {PERMISSION_CAMERA}, PERMISSIONS_REQUEST);
}
}
// Returns true if the device supports the required hardware level, or better.
private boolean isHardwareLevelSupported(
CameraCharacteristics characteristics, int requiredLevel) {
int deviceLevel = characteristics.get(CameraCharacteristics.INFO_SUPPORTED_HARDWARE_LEVEL);
if (deviceLevel == CameraCharacteristics.INFO_SUPPORTED_HARDWARE_LEVEL_LEGACY) {
return requiredLevel == deviceLevel;
}
// deviceLevel is not LEGACY, can use numerical sort
return requiredLevel <= deviceLevel;
}
private String chooseCamera() {
final CameraManager manager = (CameraManager) getSystemService(Context.CAMERA_SERVICE);
try {
for (final String cameraId : manager.getCameraIdList()) {
final CameraCharacteristics characteristics = manager.getCameraCharacteristics(cameraId);
// We don't use a front facing camera in this sample.
final Integer facing = characteristics.get(CameraCharacteristics.LENS_FACING);
if (facing != null && facing == CameraCharacteristics.LENS_FACING_FRONT) {
continue;
}
final StreamConfigurationMap map =
characteristics.get(CameraCharacteristics.SCALER_STREAM_CONFIGURATION_MAP);
if (map == null) {
continue;
}
// Fallback to camera1 API for internal cameras that don't have full support.
// This should help with legacy situations where using the camera2 API causes
// distorted or otherwise broken previews.
useCamera2API =
(facing == CameraCharacteristics.LENS_FACING_EXTERNAL)
|| isHardwareLevelSupported(
characteristics, CameraCharacteristics.INFO_SUPPORTED_HARDWARE_LEVEL_FULL);
LOGGER.i("Camera API lv2?: %s", useCamera2API);
return cameraId;
}
} catch (CameraAccessException e) {
LOGGER.e(e, "Not allowed to access camera");
}
return null;
}
protected void setFragment() {
String cameraId = chooseCamera();
Fragment fragment;
if (useCamera2API) {
CameraConnectionFragment camera2Fragment =
CameraConnectionFragment.newInstance(
new CameraConnectionFragment.ConnectionCallback() {
@Override
public void onPreviewSizeChosen(final Size size, final int rotation) {
previewHeight = size.getHeight();
previewWidth = size.getWidth();
CameraActivity.this.onPreviewSizeChosen(size, rotation);
}
},
this,
getLayoutId(),
getDesiredPreviewFrameSize());
camera2Fragment.setCamera(cameraId);
fragment = camera2Fragment;
} else {
fragment =
new LegacyCameraConnectionFragment(this, getLayoutId(), getDesiredPreviewFrameSize());
}
getFragmentManager().beginTransaction().replace(R.id.container, fragment).commit();
}
protected void fillBytes(final Plane[] planes, final byte[][] yuvBytes) {
// Because of the variable row stride it's not possible to know in
// advance the actual necessary dimensions of the yuv planes.
for (int i = 0; i < planes.length; ++i) {
final ByteBuffer buffer = planes[i].getBuffer();
if (yuvBytes[i] == null) {
LOGGER.d("Initializing buffer %d at size %d", i, buffer.capacity());
yuvBytes[i] = new byte[buffer.capacity()];
}
buffer.get(yuvBytes[i]);
}
}
protected void readyForNextImage() {
if (postInferenceCallback != null) {
postInferenceCallback.run();
}
}
protected int getScreenOrientation() {
switch (getWindowManager().getDefaultDisplay().getRotation()) {
case Surface.ROTATION_270:
return 270;
case Surface.ROTATION_180:
return 180;
case Surface.ROTATION_90:
return 90;
default:
return 0;
}
}
@UiThread
protected void showResultsInBottomSheet(List<Recognition> results) {
if (results != null && results.size() >= 3) {
Recognition recognition = results.get(0);
if (recognition != null) {
if (recognition.getTitle() != null) recognitionTextView.setText(recognition.getTitle()); //TEST
if (recognition.getConfidence() != null)
recognitionValueTextView.setText(
String.format("%.2f", (100 * recognition.getConfidence())) + "%");
button.setOnClickListener(view -> {
if(recognition.getTitle().equals("Empty")){
t1.speak("can't detect any currency ",TextToSpeech.QUEUE_FLUSH,null,null);
}else{
if (recognition.getConfidence() != null && recognition.getConfidence() * 100 > threshold) //engine
t1.speak(recognition.getTitle(), TextToSpeech.QUEUE_FLUSH, null,null);
}
});
text.setText(recognition.getTitle());
}
Recognition recognition1 = results.get(1);
if (recognition1 != null) {
if (recognition1.getTitle() != null) recognition1TextView.setText(recognition1.getTitle());
if (recognition1.getConfidence() != null)
recognition1ValueTextView.setText(
String.format("%.2f", (100 * recognition1.getConfidence())) + "%");
}
Recognition recognition2 = results.get(2);
if (recognition2 != null) {
if (recognition2.getTitle() != null) recognition2TextView.setText(recognition2.getTitle());
if (recognition2.getConfidence() != null)
recognition2ValueTextView.setText(
String.format("%.2f", (100 * recognition2.getConfidence())) + "%");
}
}
}
protected void showFrameInfo(String frameInfo) {
frameValueTextView.setText(frameInfo);
}
protected void showCropInfo(String cropInfo) {
cropValueTextView.setText(cropInfo);
}
protected void showCameraResolution(String cameraInfo) {
cameraResolutionTextView.setText(cameraInfo);
}
protected void showRotationInfo(String rotation) {
rotationTextView.setText(rotation);
}
protected void showInference(String inferenceTime) {
inferenceTimeTextView.setText(inferenceTime);
}
protected Model getModel() {
return model;
}
private void setModel(Model model) {
if (this.model != model) {
LOGGER.d("Updating model: " + model);
this.model = model;
onInferenceConfigurationChanged();
}
}
protected Device getDevice() {
return device;
}
private void setDevice(Device device) {
if (this.device != device) {
LOGGER.d("Updating device: " + device);
this.device = device;
final boolean threadsEnabled = device == Device.CPU;
plusImageView.setEnabled(threadsEnabled);
minusImageView.setEnabled(threadsEnabled);
threadsTextView.setText(threadsEnabled ? String.valueOf(numThreads) : "N/A");
onInferenceConfigurationChanged();
}
}
protected int getNumThreads() {
return numThreads;
}
private void setNumThreads(int numThreads) {
if (this.numThreads != numThreads) {
LOGGER.d("Updating numThreads: " + numThreads);
this.numThreads = numThreads;
onInferenceConfigurationChanged();
}
}
protected abstract void processImage();
protected abstract void onPreviewSizeChosen(final Size size, final int rotation);
protected abstract int getLayoutId();
protected abstract Size getDesiredPreviewFrameSize();
protected abstract void onInferenceConfigurationChanged();
@Override
public void onClick(View v) {
if (v.getId() == R.id.plus) {
String threads = threadsTextView.getText().toString().trim();
int numThreads = Integer.parseInt(threads);
if (numThreads >= 9) return;
setNumThreads(++numThreads);
threadsTextView.setText(String.valueOf(numThreads));
} else if (v.getId() == R.id.minus) {
String threads = threadsTextView.getText().toString().trim();
int numThreads = Integer.parseInt(threads);
if (numThreads == 1) {
return;
}
setNumThreads(--numThreads);
threadsTextView.setText(String.valueOf(numThreads));
}
}
@Override
public void onItemSelected(AdapterView<?> parent, View view, int pos, long id) {
if (parent == modelSpinner) {
setModel(Model.valueOf(parent.getItemAtPosition(pos).toString().toUpperCase()));
} else if (parent == deviceSpinner) {
setDevice(Device.valueOf(parent.getItemAtPosition(pos).toString()));
}
}
@Override
public void onNothingSelected(AdapterView<?> parent) {
// Do nothing.
}
}
The main error is
E/AndroidRuntime: FATAL EXCEPTION: main
Process: org.tensorflow.lite.examples.classification, PID: 5776
java.lang.RuntimeException: Failure delivering result ResultInfo{who=@android:requestPermissions:, request=1, result=-1, data=Intent { act=android.content.pm.action.REQUEST_PERMISSIONS (has extras) }} to activity {org.tensorflow.lite.examples.classification/org.tensorflow.lite.examples.classification.ClassifierActivity}: java.lang.ArrayIndexOutOfBoundsException: length=1; index=1
at android.app.ActivityThread.deliverResults(ActivityThread.java:4053)
at android.app.ActivityThread.handleSendResult(ActivityThread.java:4096)
at android.app.ActivityThread.-wrap20(ActivityThread.java)
at android.app.ActivityThread$H.handleMessage(ActivityThread.java:1516)
at android.os.Handler.dispatchMessage(Handler.java:102)
at android.os.Looper.loop(Looper.java:154)
at android.app.ActivityThread.main(ActivityThread.java:6077)
at java.lang.reflect.Method.invoke(Native Method)
at com.android.internal.os.ZygoteInit$MethodAndArgsCaller.run(ZygoteInit.java:866)
at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:756)
Caused by: java.lang.ArrayIndexOutOfBoundsException: length=1; index=1
at org.tensorflow.lite.examples.classification.CameraActivity.onRequestPermissionsResult(CameraActivity.java:399)
at android.app.Activity.dispatchRequestPermissionsResult(Activity.java:7067)
at android.app.Activity.dispatchActivityResult(Activity.java:6919)
at android.app.ActivityThread.deliverResults(ActivityThread.java:4049)
at android.app.ActivityThread.handleSendResult(ActivityThread.java:4096)
at android.app.ActivityThread.-wrap20(ActivityThread.java)
at android.app.ActivityThread$H.handleMessage(ActivityThread.java:1516)
at android.os.Handler.dispatchMessage(Handler.java:102)
at android.os.Looper.loop(Looper.java:154)
at android.app.ActivityThread.main(ActivityThread.java:6077)
at java.lang.reflect.Method.invoke(Native Method)
at com.android.internal.os.ZygoteInit$MethodAndArgsCaller.run(ZygoteInit.java:866)
at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:756)
But the error still there broi...
Looks like you haven't tested the changes in my commit...
The grantResult from org.tensorflow.lite.examples.classification.CameraActivity#onRequestPermissionsResult contains one int for each requested permission, and since this activity only requests one permission there will never be an array with a length greater than one.
if (requestCode == PERMISSIONS_REQUEST) { //ISSUE HERE
if (grantResults.length > 0
&& grantResults[0] == PackageManager.PERMISSION_GRANTED
{
setFragment();
}
issue fixed