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ninja: error: manifest 'build.ninja' still dirty after 100 tries`

I trained new model follow https://github.com/davidsandberg/facenet/wiki/Train-a-classifier-on-own-images What do I need to do to put it into this project please help me

Hey pillarpond

I was making a python script to load the .pb file to do some checking. While simply loading it using a simple script in a tensorflow session the vectors generated is different from that being generated by android. I was wondering how would it possible to load it in python.

rather recognizing frames provided by camera can we use URI of an image to see the recognition? How to create a matrix of an image? @pillarpond

Hi,

I have been working on a project which needs realtime face recognition to unlock the app, I was wondering if your app can work with chromebook devices.

I'm working of demo project, i have spend few hour to understand this demo, its really working nice.

I have few question with you.

1. Can we decrease training data time ?
2. Can we migrate this libsvm with latest version Version 3.23 or it is not possible in this code.

It would be nice if you answer this.

Thanks in advance.

Hi, i use your files and it will working well on your trained class.when i use my own graph trained using facenet-davidsandberg code.if i use your data&model files for my graph it seems like my trained images are unknown. so please tell me how do you create your data,model and mtcnn files.

thanks in advance

How to remove the 5 famous people faces so just have my face can detect?
thankyou

This app detects the faces of real persons as well as faces of persons on the pictures. Is it possible to restrict this app to only detect/recognize the real person's face and discard the image/pictures?

I have tried adding 5 different photos of mine and tried to recognize but still it is showing unknoun 0.3 . and
How can i remove added faces ?

Thank you in advance .

Hi Pillarpond

Thanks you very much for the repo the code works really well. The only issues was the size of the FaceNet model.

I have created a facenet.tflite model that working in another project i have made, but when i try use that model inside your project i get the follow.

As soon as it starts the prediction i get the following.

Do you have any ideas of what could be causing the issue or if I am doing something wrong.

Can we use similar algorithm to detect multiple faces at a time

How can I set default data as I don't need any of these five names that you set as default I only want to recognize to faces that trained by me please help me.

When initializing the classifier using
classifier = Classifier.getInstance(getAssets(), height, width);
giving unequal width and height causes the app to crash when it tries to perform facial recognition. I was wondering why this occurs.

rt。

Im try to use a usb camera but when i set it to look for an external camera its doesnt find it. It list 3 0 is back 1 is front 2 is also front

I think MTCNN has 3 nets and the facenet model file is in tensrflow format?
How did you convert the MTCNN model file to one tflite file?
Did you face any issue in converting facenet model into tflite?

I wanted to get rid of the 5 famous people so I erased the contents of the data and label files. However it seems that the model file is also affected by training, because each time I train a new face the contents of the model file change. So how can I "reset" the model file so it does not contain any numbers/data related to the 5 famous people. Or is the model file not related to face recognition but rather face detection?

Thanks in advance.

I tried to delete the pre defined labels and update new labels but it isnt working . How can i do it?

As the number of classes increases the match prob decreased. Like i register 10 people the results are perfect. But when it goes to 15 or more people the match prob results decreases. For 10 classes the average prob result is .67 for each. But for 15 or more the prob result reduces to 0.35 or less. How can i solve this.

Hey guys.

I am trying to use this in my project, so I created a new Library in my project and moved the code over to run your facial recognition.

Everything works fine when I start your MainActivity.java. The overlays load and initial "Initializing" completes, and the Camera starts. However after "Initializing" completes, the app crashes and the error says "Couldn't find "libjnilibsvm.so""

Any assistance would be greatly appreciated.

Hi, thanks for your work, is there a tracking listener so when a user is identified i can do stuff ??

How did u made the face recogniser.apk?
Thanks

，

I implemented same code in my existing android project ,it worked properly for a while(days) but after few days the Overlay graphics is not getting displayed for -object recognizer.

Dear Pillarpond,

I followed your instruction to add new faces from pictures on phone and the app saying training, but after that it still couldn't recognize new faces, I even give it 20 faces. Any idea why this happen?

Hi,

Whenever I try to add someone, for example a friend, I select 4 pics of him, I add him, the app keeps on "Initializing..." and nothing happens... :(

Could you please help?

Mathis

Heyy,
Im currently in final year of Engineering, went through your repo and we are developing a similar application. It would be great if you could guide us as to how you built the entire application. Any help from your side, will be appreciated. Any links, blogs, papers that could be refernced???
Thank You.

Hey ! I'm not able to fetch the confidence and other values such as string title for person name. I want to display a cardview overlay as soon as the person is recognized, with the person's info and image on the card. but for this i need confidence and other values in the main activity. Any help would be much appreciated !

Thanks for sharing your project first.

I tested it with Galaxy S6

Face recognition and detection works well.

but when I added person and select image

App is just crashed..

I guess because of memory (checking Android Studio profiler)

Is there any way to reduce memory in the training process???

First, a BIG thank you for sharing the codes. It works perfectly in my phone.

Here i would like to ask about the Face Detection part, on how to 'prepare the bitmap' to the stage
List<RectF> faces = blazeFace.detect(bitmap); in the Recognizer.java

I have personally setup with CameraX (instead of Camera2), with Front Camera configuration.

...
imageAnalysis.setAnalyzer(executor, new ImageAnalysis.Analyzer() {
            @Override
            public void analyze(@NonNull ImageProxy image) {
                int rotationDegrees = image.getImageInfo().getRotationDegrees();
                @SuppressLint("UnsafeExperimentalUsageError") Bitmap bm = toBitmap(image.getImage());
                Bitmap bm2 = RotateBitmap(bm, rotationDegrees);
                Bitmap bm3 = createFlippedBitmap(bm2, true, false); //<-------- after rotation and flip

                //TODO: use blazeFace to detect bm3

                image.close();
           }
});

When i am using
List<RectF> faces = blazeFace.detect(bitmap);
i am always getting 0 faces.

Back to your original codes:

When i try to view the size of the bitmap, it is always 128 x 128. Isn't it supposed to be the raw frame image from camera? （eg: 720x1280)

What has happened since the line of
final Image image = reader.acquireLatestImage(); inside the function
public void onImageAvailable(final ImageReader reader)

Appreciate if you can shed some lights.

Hi,
I just download your source code and build it on AS v3.3.0
but i meet gradle sync issue.it point to CMakerlists.txt
but system don't have the detail error description.
do you have any idea for this ?

thank you!

Hi there,
When I use davidsandberg 's facenet and your Android app to calculate embedding vectors, results are difference.
I used Samsung S9 mobile to calculate embedding vectors.

So I can't train a SVM model for classification.

Please check it. Thank you very much.

in recognizer.java how can i use or see the confidence value, if I'm not wrong the confidence value is the float value which is displayed under frame in the output screen.
I just want to add that if confidence is greater than 0.6 than email notification should trigger.please help

Everytime the app starts it automatically crashed .
The Error :
java.lang.UnsatisfiedLinkError: No implementation found for void

how can I fix this I want to try this application in my phone.

Dear pillarpond

Could you elaborate the making of tensorflow lite from frozen file for face recognition using facenet model

Hi, your work is amazing!
But may I ask how did you generate the facenet.pb file, or just have it copied from the FaceNet project?
Can I use another .pb model I trained instead?

Hi,

When using front camera, the tracking goes opposite direction.
Where to change to make this right?

Thanks.

Hi there. I want to use your model for my management application. I want to train SVM in server-side and push model to Android application, but the results is very poor. Can you explain the process to training data?

Can this handle about 5000 faces in a database?
What speeds can be expected from them.

Also are 4 images essential? or can we do with just one image for training?

E/AndroidRuntime: FATAL EXCEPTION: inference

java.lang.IllegalArgumentException: DataType error: cannot resolve DataType of java.nio.ByteBufferAsFloatBuffer
    at org.tensorflow.lite.Tensor.dataTypeOf(Tensor.java:170)
    at org.tensorflow.lite.Tensor.throwExceptionIfTypeIsIncompatible(Tensor.java:230)
    at org.tensorflow.lite.Tensor.copyTo(Tensor.java:116)
    at org.tensorflow.lite.NativeInterpreterWrapper.run(NativeInterpreterWrapper.java:157)
    at org.tensorflow.lite.Interpreter.runForMultipleInputsOutputs(Interpreter.java:250)
]