szaza / android-yolo-v2 Goto Github PK

I use a new pb file and a label file, but when i print BoundingBox ,it show BoundingBox{x=NaN, y=NaN, width=NaN, height=NaN, confidence=NaN, classes=[NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN]}

Hi there i have found your project very useful but now in 2020 Yolov3 gives state of the art accuracy. can you give us a hint or something like to implement this in yolov3?

Thanks in advance

Hi
Please help me how to get the position of detected objects.
Thanks

Your code is working fine with your provided pb file for 20 objects.
I replaced your pb file with mine and keeping the same name.
replace the label content with my 3 object name.
And when tired to run the application with my pb file (created from tiny yolo voc - yolo v2) for 3 objects
Im unable to launch the application, getting error : Failed to load model

Please suggest.

Regards
Purohit

Logs on the app :

ava.lang.RuntimeException: Failed to load model from 'file:///android_asset/tiny-yolo-voc-graph.pb'
at org.tensorflow.contrib.android.TensorFlowInferenceInterface.(TensorFlowInferenceInterface.java:100)
at org.tensorflow.yolo.TensorFlowImageRecognizer.create(TensorFlowImageRecognizer.java:42)
at org.tensorflow.yolo.view.ClassifierActivity.onPreviewSizeChosen(ClassifierActivity.java:55)
at org.tensorflow.yolo.view.CameraActivity.lambda$setFragment$0$CameraActivity(CameraActivity.java:116)
at org.tensorflow.yolo.view.CameraActivity$$Lambda$0.onPreviewSizeChosen(Unknown Source)
at org.tensorflow.yolo.view.CameraConnectionFragment.setUpCameraOutputs(CameraConnectionFragment.java:291)
at org.tensorflow.yolo.view.CameraConnectionFragment.openCamera(CameraConnectionFragment.java:298)
at org.tensorflow.yolo.view.CameraConnectionFragment.access$000(CameraConnectionFragment.java:52)
at org.tensorflow.yolo.view.CameraConnectionFragment$1.onSurfaceTextureAvailable(CameraConnectionFragment.java:163)
at android.view.TextureView.getHardwareLayer(TextureView.java:368)
at android.view.View.updateDisplayListIfDirty(View.java:15191)
at android.view.View.draw(View.java:15987)
at android.view.ViewGroup.drawChild(ViewGroup.java:3612)
at android.view.ViewGroup.dispatchDraw(ViewGroup.java:3402)
at android.view.View.updateDisplayListIfDirty(View.java:15209)
at android.view.View.draw(View.java:15987)
at android.view.ViewGroup.drawChild(ViewGroup.java:3612)
at android.view.ViewGroup.dispatchDraw(ViewGroup.java:3402)
at android.view.View.draw(View.java:16220)
at android.view.View.updateDisplayListIfDirty(View.java:15214)
at android.view.View.draw(View.java:15987)
at android.view.ViewGroup.drawChild(ViewGroup.java:3612)
at android.view.ViewGroup.dispatchDraw(ViewGroup.java:3402)
at android.view.View.updateDisplayListIfDirty(View.java:15209)
at android.view.View.draw(View.java:15987)
at android.view.ViewGroup.drawChild(ViewGroup.java:3612)
at android.view.ViewGroup.dispatchDraw(ViewGroup.java:3402)
at android.view.View.updateDisplayListIfDirty(View.java:15209)
at android.view.View.draw(View.java:15987)
at android.view.ViewGroup.drawChild(ViewGroup.java:3612)
at android.view.ViewGroup.dispatchDraw(ViewGroup.java:3402)
at android.view.View.draw(View.java:16220)
at com.android.internal.policy.PhoneWindow$DecorView.draw(PhoneWindow.java:2690)
at android.view.View.updateDisplayListIfDirty(View.java:15214)
at android.view.ThreadedRenderer.updateViewTreeDisplayList(ThreadedRenderer.java:283)
at android.view.ThreadedRenderer.updateRootDisplayList(ThreadedRenderer.java:289)
at android.view.ThreadedRenderer.draw(ThreadedRenderer.java:324)
at android.view.ViewRootImpl.draw(ViewRootImpl.java:2651)
at android.view.ViewRootImpl.performDraw(ViewRootImpl.java:2470)
at android.view.ViewRootImpl.performTraversals(ViewRootImpl.java:2103)
at android.view.ViewRootImpl.doTraversal(ViewRootImpl.java:1139)
at android.view.ViewRootImpl$TraversalRunnable.run(ViewRootImpl.java:6064)
at android.view.Choreographer$CallbackRecord.run(Choreographer.java:860)
at android.view.Choreographer.doCallbacks(Choreographer.java:672)
at android.view.Choreographer.doFrame(Choreographer.java:608)
at android.view.Choreographer$FrameDisplayEventReceiver.run(Choreographer.java:846)
at android.os.Handler.handleCallback(Handler.java:742)
at android.os.Handler.dispatchMessage(Handler.java:95)
at android.os.Looper.loop(Looper.java:157)
at android.app.ActivityThread.main(ActivityThread.java:5571)
at java.lang.reflect.Method.invoke(Native Method)
at com.android.internal.os.ZygoteInit$MethodAndArgsCaller.run(ZygoteInit.java:745)
at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:635)
Caused by: java.io.IOException: Not a valid TensorFlow Graph serialization: NodeDef mentions attr 'dilations' not in Op<name=Conv2D; signature=input:T, filter:T -> output:T; attr=T:type,allowed=[DT_HALF, DT_FLOAT]; attr=strides:list(int); attr=use_cudnn_on_gpu:bool,default=true; attr=padding:string,allowed=["SAME", "VALID"]; attr=data_format:string,default="NHWC",allowed=["NHWC", "NCHW"]>; NodeDef: 0-convolutional = Conv2D[T=DT_FLOAT, data_format="NHWC", dilations=[1, 1, 1, 1], padding="VALID", strides=[1, 1, 1, 1], use_cudnn_on_gpu=true](Pad, 0-convolutional/filter). (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.).
at org.tensorflow.contrib.android.TensorFlowInferenceInterface.loadGraph(TensorFlowInferenceInterface.java:392)
at org.tensorflow.contrib.android.TensorFlowInferenceInterface.(TensorFlowInferenceInterface.java:96)
... 52 more

I placed both the PB files (180,000++ KB) and labels.txt to my asset folder. However, when i run my project in android studio, it prompts me error.

03-14 17:43:09.973 4017-4030/org.tensorflow.yolo I/art: Background sticky concurrent mark sweep GC freed 0(0B) AllocSpace objects, 0(0B) LOS objects, 0% free, 227MB/227MB, paused 304.711ms total 453.143ms
03-14 17:43:09.986 4017-4017/org.tensorflow.yolo E/AndroidRuntime: FATAL EXCEPTION: main
Process: org.tensorflow.yolo, PID: 4017
java.lang.StackOverflowError: stack size 8MB
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(YOLOClassifier.java:39)
at org.tensorflow.yolo.YOLOClassifier.getInstance(Y

03-14 17:43:12.696 4017-4017/org.tensorflow.yolo D/Error: ERR: TOTAL BYTES WRITTEN: 39199384
03-14 17:43:12.696 4017-4017/org.tensorflow.yolo E/JavaBinder: !!! FAILED BINDER TRANSACTION !!! (parcel size = 39199476)
03-14 17:43:12.697 4017-4017/org.tensorflow.yolo E/AndroidRuntime: Error reporting crash
android.os.TransactionTooLargeException: data parcel size 39199476 bytes
at android.os.BinderProxy.transactNative(Native Method)
at android.os.BinderProxy.transact(Binder.java:511)
at android.app.ActivityManagerProxy.handleApplicationCrash(ActivityManagerNative.java:4617)
at com.android.internal.os.RuntimeInit$UncaughtHandler.uncaughtException(RuntimeInit.java:109)
at java.lang.ThreadGroup.uncaughtException(ThreadGroup.java:693)
at java.lang.ThreadGroup.uncaughtException(ThreadGroup.java:690)

I follow the instructions to put the PB and txt files in the assets folder. After the app opens, it will flash back. I am training the yolo2 to do face detection. The output is 30=5*6. What is the reason?

i think yolov3 performance is much better than yolov2.
do you have no intention of making android-yolo-v3?

Hi,
I have trained a custom model using darkflow and i have converted my checkpoint file to .pb file using the command you mentioned. I am getting prediction when i am using the .pb file in darkflow but i am not getting any prediction when i use it in the mobile app. And thr are no crashes in the app as well i am just not getting any predictions.

I have trained my model with a single object 'pothole' and here is the .Pb file https://drive.google.com/file/d/10Y6w9tlHvpKCg-wXcLYhmteN9Va7r6X8/view?usp=sharing .
After making changes in the config file and running it. I am facing this issue.
05/24 21:11:56: Launching 'android-yolo-v2-master' on Pixel 3 API 23.
$ adb shell am start -n "org.tensorflow.yolo/org.tensorflow.yolo.view.ClassifierActivity" -a android.intent.action.MAIN -c android.intent.category.LAUNCHER
Connected to process 6183 on device 'Pixel_3_API_23 [emulator-5554]'.
Capturing and displaying logcat messages from application. This behavior can be disabled in the "Logcat output" section of the "Debugger" settings page.
D/AndroidRuntime: Shutting down VM
E/AndroidRuntime: FATAL EXCEPTION: main
Process: org.tensorflow.yolo, PID: 6183
java.lang.RuntimeException: Failed to load model from 'file:///android_asset/tiny-yolo-voc-graph.pb'
at org.tensorflow.contrib.android.TensorFlowInferenceInterface.(TensorFlowInferenceInterface.java:113)
at org.tensorflow.yolo.TensorFlowImageRecognizer.create(TensorFlowImageRecognizer.java:42)
at org.tensorflow.yolo.view.ClassifierActivity.onPreviewSizeChosen(ClassifierActivity.java:55)
at org.tensorflow.yolo.view.CameraActivity.lambda$setFragment$0$CameraActivity(CameraActivity.java:116)
at org.tensorflow.yolo.view.CameraActivity$$Lambda$0.onPreviewSizeChosen(Unknown Source)
at org.tensorflow.yolo.view.CameraConnectionFragment.setUpCameraOutputs(CameraConnectionFragment.java:291)
at org.tensorflow.yolo.view.CameraConnectionFragment.openCamera(CameraConnectionFragment.java:298)
at org.tensorflow.yolo.view.CameraConnectionFragment.access$000(CameraConnectionFragment.java:52)
at org.tensorflow.yolo.view.CameraConnectionFragment$1.onSurfaceTextureAvailable(CameraConnectionFragment.java:163)
at android.view.TextureView.getHardwareLayer(TextureView.java:368)
at android.view.View.updateDisplayListIfDirty(View.java:15151)
at android.view.View.draw(View.java:15948)
at android.view.ViewGroup.drawChild(ViewGroup.java:3609)
at android.view.ViewGroup.dispatchDraw(ViewGroup.java:3399)
at android.view.View.updateDisplayListIfDirty(View.java:15169)
at android.view.View.draw(View.java:15948)
at android.view.ViewGroup.drawChild(ViewGroup.java:3609)
at android.view.ViewGroup.dispatchDraw(ViewGroup.java:3399)
at android.view.View.draw(View.java:16181)
at android.view.View.updateDisplayListIfDirty(View.java:15174)
at android.view.View.draw(View.java:15948)
at android.view.ViewGroup.drawChild(ViewGroup.java:3609)
at android.view.ViewGroup.dispatchDraw(ViewGroup.java:3399)
at android.view.View.updateDisplayListIfDirty(View.java:15169)
at android.view.View.draw(View.java:15948)
at android.view.ViewGroup.drawChild(ViewGroup.java:3609)
at android.view.ViewGroup.dispatchDraw(ViewGroup.java:3399)
at android.view.View.updateDisplayListIfDirty(View.java:15169)
at android.view.View.draw(View.java:15948)
at android.view.ViewGroup.drawChild(ViewGroup.java:3609)
at android.view.ViewGroup.dispatchDraw(ViewGroup.java:3399)
at android.view.View.draw(View.java:16181)
at com.android.internal.policy.PhoneWindow$DecorView.draw(PhoneWindow.java:2690)
at android.view.View.updateDisplayListIfDirty(View.java:15174)
at android.view.ThreadedRenderer.updateViewTreeDisplayList(ThreadedRenderer.java:281)
at android.view.ThreadedRenderer.updateRootDisplayList(ThreadedRenderer.java:287)
at android.view.ThreadedRenderer.draw(ThreadedRenderer.java:322)
at android.view.ViewRootImpl.draw(ViewRootImpl.java:2615)
at android.view.ViewRootImpl.performDraw(ViewRootImpl.java:2434)
at android.view.ViewRootImpl.performTraversals(ViewRootImpl.java:2067)
at android.view.ViewRootImpl.doTraversal(ViewRootImpl.java:1107)
at android.view.ViewRootImpl$TraversalRunnable.run(ViewRootImpl.java:6013)
at android.view.Choreographer$CallbackRecord.run(Choreographer.java:858)
at android.view.Choreographer.doCallbacks(Choreographer.java:670)
at android.view.Choreographer.doFrame(Choreographer.java:606)
at android.view.Choreographer$FrameDisplayEventReceiver.run(Choreographer.java:844)
at android.os.Handler.handleCallback(Handler.java:739)
at android.os.Handler.dispatchMessage(Handler.java:95)
at android.os.Looper.loop(Looper.java:148)
at android.app.ActivityThread.main(ActivityThread.java:5417)
at java.lang.reflect.Method.invoke(Native Method)
at com.android.internal.os.ZygoteInit$MethodAndArgsCaller.run(ZygoteInit.java:726)
at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:616)
Caused by: java.io.IOException: Not a valid TensorFlow Graph serialization: NodeDef mentions attr 'explicit_paddings' not in Op<name=Conv2D; signature=input:T, filter:T -> output:T; attr=T:type,allowed=[DT_HALF, DT_BFLOAT16, DT_FLOAT, DT_DOUBLE]; attr=strides:

I tried changing the tensor flow version and running it again but it didnt work.
Can you please resolve it

Unable to find method 'org.gradle.api.internal.TaskInputsInternal.property(Ljava/lang/String;Ljava/lang/Object;)Lorg/gradle/api/tasks/TaskInputs;'.
Possible causes for this unexpected error include:
Gradle's dependency cache may be corrupt (this sometimes occurs after a network connection timeout.)
Re-download dependencies and sync project (requires network)

Seems that I'm using gradle v5 and your code is gradle v4 API. Am I right?
I'm beginner... can you update your code to v5 gradle API?

Hi. I tried to change the minSdkVersion to 23 but the app crashes. Camera2 API runs from SDK version 21. So, why is the app crashing? The error message is as follows -

java.lang.RuntimeException: Unable to start activity ComponentInfo{org.tensorflow.yolo/org.tensorflow.yolo.view.ClassifierActivity}: android.view.InflateException: Binary XML file line #0: Binary XML file line #0: Error inflating class org.tensorflow.yolo.view.OverlayView
at android.app.ActivityThread.performLaunchActivity(ActivityThread.java:3319)
at android.app.ActivityThread.handleLaunchActivity(ActivityThread.java:3415)
at android.app.ActivityThread.access$1100(ActivityThread.java:229)
at android.app.ActivityThread$H.handleMessage(ActivityThread.java:1821)
at android.os.Handler.dispatchMessage(Handler.java:102)
at android.os.Looper.loop(Looper.java:148)
at android.app.ActivityThread.main(ActivityThread.java:7325)
at java.lang.reflect.Method.invoke(Native Method)
at com.android.internal.os.ZygoteInit$MethodAndArgsCaller.run(ZygoteInit.java:1230)
at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:1120)
Caused by: android.view.InflateException: Binary XML file line #0: Binary XML file line #0: Error inflating class org.tensorflow.yolo.view.OverlayView
at android.view.LayoutInflater.inflate(LayoutInflater.java:551)
at android.view.LayoutInflater.inflate(LayoutInflater.java:429)
at org.tensorflow.yolo.view.CameraConnectionFragment.onCreateView(CameraConnectionFragment.java:135)
at android.app.Fragment.performCreateView(Fragment.java:2281)
at android.app.FragmentManagerImpl.moveToState(FragmentManager.java:984)
at android.app.FragmentManagerImpl.moveToState(FragmentManager.java:1164)
at android.app.BackStackRecord.run(BackStackRecord.java:793)
at android.app.FragmentManagerImpl.execPendingActions(FragmentManager.java:1557)
at android.app.FragmentController.execPendingActions(FragmentController.java:326)
at android.app.Activity.performStart(Activity.java:6942)
at android.app.ActivityThread.performLaunchActivity(ActivityThread.java:3276)
at android.app.ActivityThread.handleLaunchActivity(ActivityThread.java:3415) 
at android.app.ActivityThread.access$1100(ActivityThread.java:229) 
at android.app.ActivityThread$H.handleMessage(ActivityThread.java:1821) 
at android.os.Handler.dispatchMessage(Handler.java:102) 
at android.os.Looper.loop(Looper.java:148) 
at android.app.ActivityThread.main(ActivityThread.java:7325) 
at java.lang.reflect.Method.invoke(Native Method) 
at com.android.internal.os.ZygoteInit$MethodAndArgsCaller.run(ZygoteInit.java:1230) 
at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:1120) 
Caused by: android.view.InflateException: Binary XML file line #0: Error inflating class org.tensorflow.yolo.view.OverlayView
at android.view.LayoutInflater.createView(LayoutInflater.java:657)
at android.view.LayoutInflater.createViewFromTag(LayoutInflater.java:776)
at android.view.LayoutInflater.createViewFromTag(LayoutInflater.java:716)
at android.view.LayoutInflater.rInflate(LayoutInflater.java:847)
at android.view.LayoutInflater.rInflateChildren(LayoutInflater.java:810)
at android.view.LayoutInflater.inflate(LayoutInflater.java:527)
at android.view.LayoutInflater.inflate(LayoutInflater.java:429) 
at org.tensorflow.yolo.view.CameraConnectionFragment.onCreateView(CameraConnectionFragment.java:135) 
at android.app.Fragment.performCreateView(Fragment.java:2281) 
at android.app.FragmentManagerImpl.moveToState(FragmentManager.java:984) 
at android.app.FragmentManagerImpl.moveToState(FragmentManager.java:1164) 
at android.app.BackStackRecord.run(BackStackRecord.java:793) 
at android.app.FragmentManagerImpl.execPendingActions(FragmentManager.java:1557) 
at android.app.FragmentController.execPendingActions(FragmentController.java:326) 
at android.app.Activity.performStart(Activity.java:6942) 
at android.app.ActivityThread.performLaunchActivity(ActivityThread.java:3276) 
at android.app.ActivityThread.handleLaunchActivity(ActivityThread.java:3415) 
at android.app.ActivityThread.access$1100(ActivityThread.java:229) 
at android.app.ActivityThread$H.handleMessage(ActivityThread.java:1821) 
at android.os.Handler.dispatchMessage(Handler.java:102) 
at android.os.Looper.loop(Looper.java:148) 
at android.app.ActivityThread.main(ActivityThread.java:7325) 
at java.lang.reflect.Method.invoke(Native Method) 
at com.android.internal.os.ZygoteInit$MethodAndArgsCaller.run(ZygoteInit.java:1230) 
at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:1120) 
Caused by: java.lang.reflect.InvocationTargetException
at java.lang.reflect.Constructor.newInstance(Native Method)
at android.view.LayoutInflater.createView(LayoutInflater.java:631)
at android.view.LayoutInflater.createViewFromTag(LayoutInflater.java:776) 
at android.view.LayoutInflater.createViewFromTag(LayoutInflater.java:716) 
at android.view.LayoutInflater.rInflate(LayoutInflater.java:847) 
at android.view.LayoutInflater.rInflateChildren(LayoutInflater.java:810) 
at android.view.LayoutInflater.inflate(LayoutInflater.java:527) 
at android.view.LayoutInflater.inflate(LayoutInflater.java:429) 
at org.tensorflow.yolo.view.CameraConnectionFragment.onCreateView(CameraConnectionFragment.java:135) 
at android.app.Fragment.performCreateView(Fragment.java:2281) 
at android.app.FragmentManagerImpl.moveToState(FragmentManager.java:984) 
at android.app.FragmentManagerImpl.moveToState(FragmentManager.java:1164) 
at android.app.BackStackRecord.run(BackStackRecord.java:793) 
at android.app.FragmentManagerImpl.execPendingActions(FragmentManager.java:1557) 
at android.app.FragmentController.execPendingActions(FragmentController.java:326) 
at android.app.Activity.performStart(Activity.java:6942) 
at android.app.ActivityThread.performLaunchActivity(ActivityThread.java:3276) 
at android.app.ActivityThread.handleLaunchActivity(ActivityThread.java:3415) 
at android.app.ActivityThread.access$1100(ActivityThread.java:229) 
at android.app.ActivityThread$H.handleMessage(ActivityThread.java:1821) 
at android.os.Handler.dispatchMessage(Handler.java:102) 
at android.os.Looper.loop(Looper.java:148) 
at android.app.ActivityThread.main(ActivityThread.java:7325) 
at java.lang.reflect.Method.invoke(Native Method) 
at com.android.internal.os.ZygoteInit$MethodAndArgsCaller.run(ZygoteInit.java:1230) 
at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:1120) 
Caused by: java.lang.NoSuchMethodError: No virtual method lines()Ljava/util/stream/Stream; in class Ljava/io/BufferedReader; or its super classes (declaration of 'java.io.BufferedReader' appears in /system/framework/core-libart.jar)
at org.tensorflow.yolo.util.ClassAttrProvider.init(ClassAttrProvider.java:40)
at org.tensorflow.yolo.util.ClassAttrProvider.(ClassAttrProvider.java:27)
at org.tensorflow.yolo.util.ClassAttrProvider.newInstance(ClassAttrProvider.java:32)
at org.tensorflow.yolo.view.OverlayView.(OverlayView.java:40)
at java.lang.reflect.Constructor.newInstance(Native Method) 
at android.view.LayoutInflater.createView(LayoutInflater.java:631) 
at android.view.LayoutInflater.createViewFromTag(LayoutInflater.java:776) 
at android.view.LayoutInflater.createViewFromTag(LayoutInflater.java:716) 
at android.view.LayoutInflater.rInflate(LayoutInflater.java:847) 
at android.view.LayoutInflater.rInflateChildren(LayoutInflater.java:810) 
at android.view.LayoutInflater.inflate(LayoutInflater.java:527) 
at android.view.LayoutInflater.inflate(LayoutInflater.java:429) 
at org.tensorflow.yolo.view.CameraConnectionFragment.onCreateView(CameraConnectionFragment.java:135) 
at android.app.Fragment.performCreateView(Fragment.java:2281) 
at android.app.FragmentManagerImpl.moveToState(FragmentManager.java:984) 
at android.app.FragmentManagerImpl.moveToState(FragmentManager.java:1164) 
at android.app.BackStackRecord.run(BackStackRecord.java:793) 
at android.app.FragmentManagerImpl.execPendingActions(FragmentManager.java:1557) 
at android.app.FragmentController.execPendingActions(FragmentController.java:326) 
at android.app.Activity.performStart(Activity.java:6942) 
at android.app.ActivityThread.performLaunchActivity(ActivityThread.java:3276) 
at android.app.ActivityThread.handleLaunchActivity(ActivityThread.java:3415) 
at android.app.ActivityThread.access$1100(ActivityThread.java:229) 
at android.app.ActivityThread$H.handleMessage(ActivityThread.java:1821) 
at android.os.Handler.dispatchMessage(Handler.java:102) 
at android.os.Looper.loop(Looper.java:148) 
at android.app.ActivityThread.main(ActivityThread.java:7325) 
at java.lang.reflect.Method.invoke(Native Method) 
at com.android.internal.os.ZygoteInit$MethodAndArgsCaller.run(ZygoteInit.java:1230) 
at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:1120) 

Hi,
Thanks for your work.
I just gave it a run .. to have a feeling how it is working
the network is not really giving the right object .. it gives a prediction of tv monitor while im showing a bottle.
I tried it with and Android mobile without GPU and another Android with GPU. they needed almost the same time. I just noticed that the GPU Android get heated quickly. maybe capture image and send it for prediction would be good idea instead of keep sending frames.

one last thing, any recommendations for the network size? the pb file? I have around 1800 images and many objects inside them.

Hi szaza, do you have any idea how to enable the onFaceDetection so that my face objection can work

Hi,
I converted the .weights file trained using darknet into .pb file using darkflow and installed APK on Android cellphone, but fails to launch the application.
Is this conversion failed?

procedure:

1. $ cd ~/darknet
2. $ ./darknet detector train cfg/voc.data cfg/yolov2-tiny-voc.cfg bin/darknet19_448.conv.23
3. $ cd ~/darkflow
4. $ ./flow --module cfg/yolov2-tiny-voc.cfg --load bin/yolov2-tiny- voc-100.weights --savepb

result:
/home/keides2/darkflow/darkflow/dark/darknet.py: 54: UserWarning: ./cfg/yolov2-tiny-voc_100.cfg not found, use cfg / yolov2-tiny-voc.cfg instead
  cfg_path, FLAGS.model))
Parsing cfg / yolov 2 - tiny - voc.cfg
Loading bin / yolov 2 - tiny - voc - 100.weights ...
Successfully identified 63082056 bytes
Finished in 0.0044057369232177734s

Building net ...
Source | Train? | Layer description | Output size
------- + -------- + --------------------------------- - + ---------------
       | | input | (?, 416, 416, 3)
 Load | Yep! | Conv 3x 3 p 1 _ 1 + b norm leaky | (?, 416, 416, 16)
 Load | Yep! | Maxp 2 x 2 p 0 _ 2 | (?, 208, 208, 16)
 Load | Yep! | Conv 3x 3 p 1 _ 1 + b norm leaky | (?, 208, 208, 32)
 Load | Yep! | Maxp 2 x 2 p 0 _ 2 | (?, 104, 104, 32)
 Load | Yep! | Conv 3x3p1_1 + bnorm leaky | (?, 104, 104, 64)
 Load | Yep! | Maxp 2 x 2 p 0 _ 2 | (?, 52, 52, 64)
 Load | Yep! | Conv 3x3p1_1 + bnorm leaky | (?, 52, 52, 128)
 Load | Yep! | Maxp 2 x 2 p 0 _ 2 | (?, 26, 26, 128)
 Load | Yep! | Conv 3x3p1_1 + bnorm leaky | (?, 26, 26, 256)
 Load | Yep! | Maxp 2 x 2 p 0 _ 2 | (?, 13, 13, 256)
 Load | Yep! | Conv 3x3p1_1 + bnorm leaky | (?, 13, 13, 512)
 Load | Yep! | Maxp 2 x 2 p 0 _ 1 | (?, 13, 13, 512)
 Load | Yep! | Conv 3x3p1_1 + bnorm leaky | (?, 13, 13, 1024)
 Load | Yep! | Conv 3x3p1_1 + bnorm leaky | (?, 13, 13, 1024)
 Load | Yep! | Conv 1 x 1 p 0 _ 1 linear | (?, 13, 13, 30)
------- + -------- + --------------------------------- - + ---------------
Running entirely on CPU
2018-07-02 13: 26: 24.956143: I tensorflow / core / platform / cpu_feature_guard.cc: 140] Your CPU support instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2018-07-02 13: 26: 25.064272: I tensorflow / stream_executor / cuda / cuda_gpu_executor.cc: 898] successful NUMA node read from SysFS had negative value (-1), but there must always be at least one NUMA node, so returning NUMA node zero
2018-07-02 13: 26: 25.065139: I tensorflow / core / common_runtime / gpu / gpu_device.cc: 1356] Found device 0 with properties:
name: GeForce GTX 1080 major: 6 minor: 1 memoryClockRate (GHz): 1.759
pciBusID: 0000: 01: 00.0
totalMemory: 7.93GiB freeMemory: 7.22GiB
2018-07-02 13: 26: 25.065176: I tensorflow / core / common_runtime / gpu / gpu_device.cc: 1435] Adding visible gpu devices: 0
2018-07-02 13: 26: 26.025166: I tensorflow / core / common_runtime / gpu / gpu_device.cc: 923] Device interconnect StreamExecutor with strength 1 edge matrix:
2018-07-02 13: 26: 26.025209: I tensorflow / core / common_runtime / gpu / gpu_device.cc: 929] 0
2018-07-02 13: 26: 26.025235: I tensorflow / core / common_runtime / gpu / gpu_device.cc: 942] 0: N
Finished in 2.7535111904144287s

Rebuild a constant version ...
2018-07-02 13: 26: 26.655822: I tensorflow / core / common_runtime / gpu / gpu_device.cc: 1435] Adding visible gpu devices: 0
2018-07-02 13: 26: 26.655875: I tensorflow / core / common_runtime / gpu / gpu_device.cc: 923] Device interconnect StreamExecutor with strength 1 edge matrix:
2018-07-02 13: 26: 26.655886: I tensorflow / core / common_runtime / gpu / gpu_device.cc: 929] 0
2018-07-02 13: 26: 26.655896: I tensorflow / core / common_runtime / gpu / gpu_device.cc: 942] 0: N
2018-07-02 13: 26: 26.663997: I tensorflow / core / common_runtime / gpu / gpu_device.cc: 1435] Adding visible gpu devices: 0
2018-07-02 13: 26: 26.664021: I tensorflow / core / common_runtime / gpu / gpu_device.cc: 923] Device interconnect StreamExecutor with strength 1 edge matrix:
2018-07-02 13: 26: 26.664029: I tensorflow / core / common_runtime / gpu / gpu_device.cc: 929] 0
2018-07-02 13: 26: 26.664034: I tensorflow / core / common_runtime / gpu / gpu_device.cc: 942] 0: N
Created TensorFlow device (/ job: localhost / replica: 0 / task: 0 / device: GPU: 0 with 6972] Created TensorFlow device MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080, pci bus id: 0000: 01: 00.0, compute capability: 6.1)
Done
(tensorflow) [keides2@bslpc ~/darkflow] $

Anyone know how to make yolov2 to identify capture on mobile base on .pb file?

First, thank you.
My question: Does it work with .tflite?

I have trained my a YOLO v2 model on my own dataset. Its weight is around 270 mb. When I try to run it in my app, it keeps crashing. What do I do?

Getting the dependency error in YoloClassifier.java Unable to resolve dependency for ':@debug/compileClasspath': Could not resolve org.apache.commons:commons-math3:3.6.1. where I have injected the jar file to project and Missing the Sigmoid class.

Could you people assist us while resolving the issue

How to enable GPU support for this project on Android?

Hello，when i try to build and run the repo on the simulator(Genymotion, Nexus 5, API 23, Android 6.0). The app can get the camera image, but then quickly quit. I wonder if it's because the simulator or the code itself?

The error is like:
dequeueBuffer: createGraphicBuffer failed
can't dequeue multiple buffers without setting the buffer count
at android.hardware.camera2.legacy.SurfaceTextureRenderer.checkEglError(SurfaceTextureRenderer.java:487)
at android.hardware.camera2.legacy.SurfaceTextureRenderer.swapBuffers(SurfaceTextureRenderer.java:480)
at android.hardware.camera2.legacy.SurfaceTextureRenderer.drawIntoSurfaces(SurfaceTextureRenderer.java:681)
at android.hardware.camera2.legacy.GLThreadManager$1.handleMessage(GLThreadManager.java:103)
at android.os.Handler.dispatchMessage(Handler.java:98)
at android.os.Looper.loop(Looper.java:135)
at android.os.HandlerThread.run(HandlerThread.java:61)

Can you tell me the meaning shown in the upper left corner？
Thanks.

Hi
Object detection not working in Landscape but its working in portrait. Can anybody please tell me Why Object detection not working in the landscape in Android.
Thanks!

Hi Szaza,

Thanks a lot for your contribution. I am using Windows 10 and I have incorporated training of my custom model using tiny-yolo to identify 2 classes.
Now, I would like to load it into an android app however I am unable to use the app on my phone, it keeps crashing.
Is it because I did my training of my custom model using tensorflow 1.14.0?
As i am new to this area of Android Studio and applications. I would really appreciate some guidance. Thanks.
Here is the error that i am receiving when i start the app on my mobile device.

2019-12-29 18:41:56.072 28172-28172/org.tensorflow.yolo E/AndroidRuntime: FATAL EXCEPTION: main
Process: org.tensorflow.yolo, PID: 28172
java.lang.RuntimeException: Failed to load model from 'file:///android_asset/tiny-yolo-voc-graph.pb'
at org.tensorflow.contrib.android.TensorFlowInferenceInterface.(TensorFlowInferenceInterface.java:113)
at org.tensorflow.yolo.TensorFlowImageRecognizer.create(TensorFlowImageRecognizer.java:42)
at org.tensorflow.yolo.view.ClassifierActivity.onPreviewSizeChosen(ClassifierActivity.java:55)
at org.tensorflow.yolo.view.CameraActivity.lambda$setFragment$0$CameraActivity(CameraActivity.java:116)
at org.tensorflow.yolo.view.-$$Lambda$CameraActivity$SAOsaS8oaXCIIH441aIwhMnb5HU.onPreviewSizeChosen(Unknown Source:2)
at org.tensorflow.yolo.view.CameraConnectionFragment.setUpCameraOutputs(CameraConnectionFragment.java:291)
at org.tensorflow.yolo.view.CameraConnectionFragment.openCamera(CameraConnectionFragment.java:298)
at org.tensorflow.yolo.view.CameraConnectionFragment.access$000(CameraConnectionFragment.java:52)
at org.tensorflow.yolo.view.CameraConnectionFragment$1.onSurfaceTextureAvailable(CameraConnectionFragment.java:163)
at android.view.TextureView.getTextureLayer(TextureView.java:390)
at android.view.TextureView.draw(TextureView.java:339)
at android.view.View.updateDisplayListIfDirty(View.java:20761)
at android.view.View.draw(View.java:21614)
at android.view.ViewGroup.drawChild(ViewGroup.java:4558)
at android.view.ViewGroup.dispatchDraw(ViewGroup.java:4333)
at android.view.View.updateDisplayListIfDirty(View.java:20747)
at android.view.View.draw(View.java:21614)
at android.view.ViewGroup.drawChild(ViewGroup.java:4558)
at android.view.ViewGroup.dispatchDraw(ViewGroup.java:4333)
at android.view.View.draw(View.java:21891)
at android.view.View.updateDisplayListIfDirty(View.java:20761)
at android.view.View.draw(View.java:21614)
at android.view.ViewGroup.drawChild(ViewGroup.java:4558)
at android.view.ViewGroup.dispatchDraw(ViewGroup.java:4333)
at android.view.View.updateDisplayListIfDirty(View.java:20747)
at android.view.View.draw(View.java:21614)
at android.view.ViewGroup.drawChild(ViewGroup.java:4558)
at android.view.ViewGroup.dispatchDraw(ViewGroup.java:4333)
at android.view.View.updateDisplayListIfDirty(View.java:20747)
at android.view.View.draw(View.java:21614)
at android.view.ViewGroup.drawChild(ViewGroup.java:4558)
at android.view.ViewGroup.dispatchDraw(ViewGroup.java:4333)
at android.view.View.draw(View.java:21891)
at com.android.internal.policy.DecorView.draw(DecorView.java:1082)
at android.view.View.updateDisplayListIfDirty(View.java:20761)
at android.view.ThreadedRenderer.updateViewTreeDisplayList(ThreadedRenderer.java:725)
at android.view.ThreadedRenderer.updateRootDisplayList(ThreadedRenderer.java:731)
at android.view.ThreadedRenderer.draw(ThreadedRenderer.java:840)
at android.view.ViewRootImpl.draw(ViewRootImpl.java:3935)
at android.view.ViewRootImpl.performDraw(ViewRootImpl.java:3709)
at android.view.ViewRootImpl.performTraversals(ViewRootImpl.java:3017)
at android.view.ViewRootImpl.doTraversal(ViewRootImpl.java:1876)
at android.view.ViewRootImpl$TraversalRunnable.run(ViewRootImpl.java:8499)
at android.view.Choreographer$CallbackRecord.run(Choreographer.java:949)
at android.view.Choreographer.doCallbacks(Choreographer.java:761)
at android.view.Choreographer.doFrame(Choreographer.java:696)
at android.view.Choreographer$FrameDisplayEventReceiver.run(Choreographer.java:935)
at android.os.Handler.handleCallback(Handler.java:873)
at android.os.Handler.dispatchMessage(Handler.java:99)
at android.os.Looper.loop(Looper.java:214)
at android.app.ActivityThread.main(ActivityThread.java:7037)
at java.lang.reflect.Method.invoke(Native Method)
at com.android.internal.os.RuntimeInit$MethodAndArgsCaller.run(RuntimeInit.java:494)
at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:965)
2019-12-29 18:41:56.072 28172-28172/org.tensorflow.yolo E/AndroidRuntime: Caused by: java.io.IOException: Not a valid TensorFlow Graph serialization: NodeDef mentions attr 'explicit_paddings' not in Op<name=Conv2D; signature=input:T, filter:T -> output:T; attr=T:type,allowed=[DT_HALF, DT_BFLOAT16, DT_FLOAT, DT_DOUBLE]; attr=strides:list(int); attr=use_cudnn_on_gpu:bool,default=true; attr=padding:string,allowed=["SAME", "VALID"]; attr=data_format:string,default="NHWC",allowed=["NHWC", "NCHW"]; attr=dilations:list(int),default=[1, 1, 1, 1]>; NodeDef: {{node 0-convolutional}}. (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.).
at org.tensorflow.contrib.android.TensorFlowInferenceInterface.loadGraph(TensorFlowInferenceInterface.java:561)
at org.tensorflow.contrib.android.TensorFlowInferenceInterface.(TensorFlowInferenceInterface.java:105)
... 53 more

This is my custom pb file for detection for single object.I'm getting this error.
Process: org.tensorflow.yolo, PID: 23066
java.lang.RuntimeException: Node 'output' does not exist in model 'file:///android_asset/tiny-yolo-voc-graph.pb'
at org.tensorflow.contrib.android.TensorFlowInferenceInterface.graphOperation(TensorFlowInferenceInterface.java:257)

Hello,

I am developing a drone object detection application with a DJI drone. I have my trained model and it is working by changing the assets as you explained in the guide.

I am now tying to change the camera source with the DJI camera whose minimum resolution is 1280x720. I am able to run the detector on the drone video source but the bitmap on which the detection run is distorted and the bounding boxes displayed are meaningless.

I would like to understand better how the detection process work in this application and how you manage to get the 416x416 bitmap from the android camera correctly in such a way to modify in the same way the stream video coming from the drone camera of this application. Thanks a lot for your time

BR

Unable to find method 'org.gradle.api.internal.TaskInputsInternal.property(Ljava/lang/String;Ljava/lang/Object;)Lorg/gradle/api/tasks/TaskInputs;'.
Possible causes for this unexpected error include:
Gradle's dependency cache may be corrupt (this sometimes occurs after a network connection timeout.)
Re-download dependencies and sync project (requires network)

The state of a Gradle build process (daemon) may be corrupt. Stopping all Gradle daemons may solve this problem.
Stop Gradle build processes (requires restart)

Your project may be using a third-party plugin which is not compatible with the other plugins in the project or the version of Gradle requested by the project.

In the case of corrupt Gradle processes, you can also try closing the IDE and then killing all Java processes.

When I run the app it is just showing a black screen and nothing else.

@szaza

Hi,
The results learned with darknet are very good results (loss = 0.15, avg loss = 0.13, precison = 0.87, recall = 0.97, F1 - score = 0.92, mAP = 0.96), but converting the weights file to a pb file afterwards, when this pb file is loaded on andoroid-yolo-v2 and detection of an object is done, it reacts too quickly and classifies the photographed object instantly, so it seems to be erroneously judging .

Can I change the code so that object detection starts after the same object appears for 1 second or more?

Or, I would like to make a change so that the same detection result will be the detection result for the first time three consecutive times, where should I fix the code?

Thnak you in advance,

keides2

Hello, I need to change my own dataset. How do I need to train it?

Hello Guy. I'm university student.
As a matter of fact, I'm testing your android-yolo-v2 to galaxy s8+ not change code.
but not Recognized your example.

for example, your image https://github.com/szaza/android-yolo-v2/blob/master/sample/android-yolo-v2.1.png that my camera only recognized dogs, not bicycle and car

By any chance, Do I have to insert .pb file?

Hi I made my own pb file. However, I got an error that I do not know.

The pb file seems to load well

10/15 10:23:57: Launching android-yolo-v2-master
$ adb install-multiple -r -t -p org.tensorflow.yolo C:\Users\pine\Desktop\Tensorflow Object Dection\Yolo\android-yolo-v2-master\gradleBuild\intermediates\split-apk\debug\dep\dependencies.apk C:\Users\pine\Desktop\Tensorflow Object Dection\Yolo\android-yolo-v2-master\gradleBuild\intermediates\split-apk\debug\slices\slice_5.apk C:\Users\pine\Desktop\Tensorflow Object Dection\Yolo\android-yolo-v2-master\gradleBuild\intermediates\split-apk\debug\slices\slice_8.apk C:\Users\pine\Desktop\Tensorflow Object Dection\Yolo\android-yolo-v2-master\gradleBuild\outputs\apk\debug\android-yolo-v2-master-debug.apk
Split APKs installed
$ adb shell am start -n "org.tensorflow.yolo/org.tensorflow.yolo.view.ClassifierActivity" -a android.intent.action.MAIN -c android.intent.category.LAUNCHER
Client not ready yet..Waiting for process to come online
Connected to process 29722 on device samsung-sm_g950n-ce02171295db6c2501
Capturing and displaying logcat messages from application. This behavior can be disabled in the "Logcat output" section of the "Debugger" settings page.
E/Zygote: isWhitelistProcess - Process is Whitelisted
W/SELinux: SELinux selinux_android_compute_policy_index : Policy Index[2], Con:u:r:zygote:s0 RAM:SEPF_SM-G950N_8.0.0_0016, [-1 -1 -1 -1 0 1]
I/SELinux: SELinux: seapp_context_lookup: seinfo=untrusted, level=s0:c512,c768, pkgname=org.tensorflow.yolo
I/zygote64: Late-enabling -Xcheck:jni
D/ActivityThread: Added TimaKeyStore provider
I/vndksupport: sphal namespace is not configured for this process. Loading /vendor/lib64/egl/libGLES_mali.so from the current namespace instead.
D/libEGL: loaded /vendor/lib64/egl/libGLES_mali.so
I/InstantRun: starting instant run server: is main process
I/zygote64: Do partial code cache collection, code=30KB, data=17KB
After code cache collection, code=30KB, data=17KB
Increasing code cache capacity to 128KB
I/TextToSpeech: Sucessfully bound to com.samsung.SMT
D/OpenGLRenderer: HWUI GL Pipeline
D/ViewRootImpl@334c0e0[ClassifierActivity]: setView = DecorView@d7a8f99[ClassifierActivity] TM=true MM=false
I/TextToSpeech: Connected to ComponentInfo{com.samsung.SMT/com.samsung.SMT.SamsungTTSService}
D/ViewRootImpl@334c0e0[ClassifierActivity]: dispatchAttachedToWindow
I/TextToSpeech: Set up connection to ComponentInfo{com.samsung.SMT/com.samsung.SMT.SamsungTTSService}
V/Surface: sf_framedrop debug : 0x4f4c, game : false, logging : 0
D/ViewRootImpl@334c0e0[ClassifierActivity]: Relayout returned: old=[0,0][0,0] new=[0,0][1080,2220] result=0x7 surface={valid=true 544431398912} changed=true
D/ViewRootImpl@334c0e0[ClassifierActivity]: MSG_RESIZED_REPORT: frame=Rect(0, 0 - 1080, 2220) ci=Rect(0, 0 - 0, 144) vi=Rect(0, 0 - 0, 144) or=1
D/ViewRootImpl@334c0e0[ClassifierActivity]: MSG_WINDOW_FOCUS_CHANGED 1
V/InputMethodManager: Starting input: tba=android.view.inputmethod.EditorInfo@45b8c55 nm : org.tensorflow.yolo ic=null
I/InputMethodManager: startInputInner - mService.startInputOrWindowGainedFocus
I/OpenGLRenderer: Initialized EGL, version 1.4
D/OpenGLRenderer: Swap behavior 2
D/libGLESv1: STS_GLApi : DTS, ODTC are not allowed for Package : org.tensorflow.yolo
D/mali_winsys: EGLint new_window_surface(egl_winsys_display *, void *, EGLSurface, EGLConfig, egl_winsys_surface **, egl_color_buffer_format *, EGLBoolean) returns 0x3000, [1080x2220]-format:1
D/OpenGLRenderer: eglCreateWindowSurface = 0x7ed0a0fd10
V/Surface: sf_framedrop debug : 0x4f4c, game : false, logging : 0
I/CameraManagerGlobal: Connecting to camera service
D/VendorTagDescriptor: addVendorDescriptor: vendor tag id 3854507339 added
I/TensorFlowInferenceInterface: Checking to see if TensorFlow native methods are already loaded
E/zygote64: No implementation found for long org.tensorflow.contrib.android.RunStats.allocate() (tried Java_org_tensorflow_contrib_android_RunStats_allocate and Java_org_tensorflow_contrib_android_RunStats_allocate__)
I/TensorFlowInferenceInterface: TensorFlow native methods not found, attempting to load via tensorflow_inference
I/TensorFlowInferenceInterface: Successfully loaded TensorFlow native methods (RunStats error may be ignored)
I/TensorFlowInferenceInterface: Model load took 13ms, TensorFlow version: 1.6.0-rc1
Successfully loaded model from 'file:///android_asset/five_fist_20000_yoloGraph.pb'
I/YOLO: Sensor orientation: 90, Screen orientation: 0
I/YOLO: Initializing at size 640x480
V/Surface: sf_framedrop debug : 0x4f4c, game : false, logging : 0
I/YOLO: Opening camera preview: 640x480
V/Surface: sf_framedrop debug : 0x4f4c, game : false, logging : 0
V/InputMethodManager: Starting input: tba=android.view.inputmethod.EditorInfo@c89f10d nm : org.tensorflow.yolo ic=null
I/Choreographer: Skipped 41 frames! The application may be doing too much work on its main thread.
I/zygote64: Deoptimizing org.tensorflow.yolo.model.BoundingBox org.tensorflow.yolo.YOLOClassifier.getModel(float[], int, int, int, int, int) due to block bounds check elimination
E/AndroidRuntime: FATAL EXCEPTION: inference
Process: org.tensorflow.yolo, PID: 29722
java.lang.ArrayIndexOutOfBoundsException: length=3549; index=3549
at org.tensorflow.yolo.YOLOClassifier.getModel(YOLOClassifier.java:88)
at org.tensorflow.yolo.YOLOClassifier.classifyImage(YOLOClassifier.java:71)
at org.tensorflow.yolo.TensorFlowImageRecognizer.recognizeImage(TensorFlowImageRecognizer.java:50)
at org.tensorflow.yolo.view.ClassifierActivity.lambda$onImageAvailable$1$ClassifierActivity(ClassifierActivity.java:107)
at org.tensorflow.yolo.view.ClassifierActivity$$Lambda$1.run(Unknown Source:0)
at android.os.Handler.handleCallback(Handler.java:789)
at android.os.Handler.dispatchMessage(Handler.java:98)
at android.os.Looper.loop(Looper.java:164)
at android.os.HandlerThread.run(HandlerThread.java:65)
Application terminated.