Works incorrectly in samsung A21s about facerecognition_with_facenet_android HOT 9 OPEN

if I run the L2Norm with the FloatArrays that I get from the Xiaomi, Samsung can do the calculation correctly.

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This is because of different device configurations. Probably switching off the GpuDelegate and XNNPack might help.
In the FaceNetModel.kt class, you'll see these lines,

init {
    // Initialize TFLiteInterpreter
    val interpreterOptions = Interpreter.Options().apply {
        // Add the GPU Delegate if supported.
        // See -> https://www.tensorflow.org/lite/performance/gpu#android
        if ( CompatibilityList().isDelegateSupportedOnThisDevice ) {
            addDelegate( GpuDelegate( CompatibilityList().bestOptionsForThisDevice ))
        }
        else {
            // Number of threads for computation
            setNumThreads( 4 )
        }
        setUseXNNPACK( true )
    }
    interpreter = Interpreter(FileUtil.loadMappedFile(context, model.assetsFilename ) , interpreterOptions )
    Logger.log("Using ${model.name} model.")
}

Replace these lines with,

init {
    // Initialize TFLiteInterpreter
    val interpreterOptions = Interpreter.Options().apply {    
         setNumThreads( 4 )
    }
    interpreter = Interpreter(FileUtil.loadMappedFile(context, model.assetsFilename ) , interpreterOptions )
    Logger.log("Using ${model.name} model.")
}

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@emreakcan Could you resolve the error by removing GpuDelegate?

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HI @shubham0204,

I'm also facing the same issue with face recognition. Initially, it generated multiple results for the same face. But now after removing the GPUDelegate and XNNPack, for all the faces it is giving me the same result as unknown.

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@DineshIT can you send me some more details of the Samsung A21 device on which you're testing the app? I need these details specifically:

1. Android OS Version
2. GPU Renderer
3. Supported ABIs
4. CPU architecture

You can get these details by installing the Device Info app on the device.

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Hi @shubham0204

I have worked on this issue and fixed it by adding the properties in the interpreter class object.

Please check my commit in the repo and merge it to handle this issue.

Hi @emreakcan

You can make the mentioned changes in your FaceNetModel Class and verify whether this issue got fixed at your end. If you got success please share with us.

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@DineshIT Can you open a PR in this repo, so that I can review the changes?

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PR has been created

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