the-dagger

...
#include "tensorflow/lite/java/src/main/native/normalize.h"
#include "tensorflow/lite/java/src/main/native/predict.h"
#include "tensorflow/lite/java/src/main/native/extract_feature.h"
namespace tflite {
...

the-dagger

...
hdrs = [
        "exception_jni.h",
        "nativeinterpreterwrapper_jni.h",
        "tensor_jni.h",
        "tensorflow_lite_jni.h",
        "normalize.h",
        "predict.h",
        "extract_feature.h",
    ],

the-dagger

bazel build --cxxopt='--std=c++11' -c opt        \
  --fat_apk_cpu=x86,x86_64,arm64-v8a,armeabi-v7a   \
  //tensorflow/lite/java:tensorflow-lite

the-dagger

> Task :crash:app:preDebugBuild FAILED
Warning: The app gradle file must have a dependency on com.google.firebase:firebase-core for Firebase services to work as intended.
Warning: The app gradle file must have a dependency on com.google.firebase:firebase-core for Firebase services to work as intended.

> Task :admob:app:preDebugBuild FAILED
Warning: The app gradle file must have a dependency on com.google.firebase:firebase-core for Firebase services to work as intended.

> Task :appindexing:app:preDebugBuild FAILED
Warning: The app gradle file must have a dependency on com.google.firebase:firebase-core for Firebase services to work as intended.

the-dagger

dependencies {
    // ...

    // Add the In-App Messaging depencency:
    implementation 'com.google.firebase:firebase-inappmessaging-display:17.0.0'
}

the-dagger

private fun getPokemonFromBitmap(bitmap: Bitmap?) {
        val inputs = FirebaseModelInputs.Builder()
                .add(convertBitmapToByteBuffer(bitmap)) // add() as many input arrays as your model requires
                .build()

        fireBaseInterpreter.run(inputs, inputOutputOptions)
                ?.addOnSuccessListener {
                    val pokeList = mutableListOf<Pokemon>()
                    /**
                     * Run a foreach loop through the output float array containing the probabilities

the-dagger

val pokeArray: Array<String> = arrayOf("abra", "aerodactyl", "alakazam", "arbok", "arcanine", "articuno", "beedrill", "bellsprout",
        "blastoise", "bulbasaur", "butterfree", "caterpie", "chansey", "charizard", "charmander", "charmeleon", "clefable", "clefairy", "cloyster", "cubone", "dewgong",
        "diglett", "ditto", "dodrio", "doduo", "dragonair", "dragonite", "dratini", "drowzee", "dugtrio", "eevee", "ekans", "electabuzz",
        "electrode", "exeggcute", "exeggutor", "farfetchd", "fearow", "flareon", "gastly", "gengar", "geodude", "gloom",
        "golbat", "goldeen", "golduck", "golem", "graveler", "grimer", "growlithe", "gyarados", "haunter", "hitmonchan",
        "hitmonlee", "horsea", "hypno", "ivysaur", "jigglypuff", "jolteon", "jynx", "kabuto",
        "kabutops", "kadabra", "kakuna", "kangaskhan", "kingler", "koffing", "krabby", "lapras", "lickitung", "machamp",
        "machoke", "machop", "magikarp", "magmar", "magnemite", "magneton", "mankey", "marowak", "meowth", "metapod",
        "m

the-dagger

override fun onCreate(savedInstanceState: Bundle?) {
  
  //...
  private fun getPokemonFromBitmap(bitmap: Bitmap?) {
        val inputs = FirebaseModelInputs.Builder()
                .add(convertBitmapToByteBuffer(bitmap)) // add() as many input arrays as your model requires
                .build()

        fireBaseInterpreter.run(inputs, inputOutputOptions)
                ?.addOnSuccessListener {

the-dagger

override fun onCreate(savedInstanceState: Bundle?) {
        //...
         val firebaseModelOptions = FirebaseModelOptions.Builder()
                .setLocalModelName("pokedex")
                .setCloudModelName("pokedex")
                .build()
        
         fireBaseInterpreter = FirebaseModelInterpreter.getInstance(firebaseModelOptions)!!
        //...
}

the-dagger

class PokemonDetectorActivity : BaseCameraActivity() {
  
    companion object {
        /** Dimensions of inputs.  */
        const val DIM_IMG_SIZE_X = 224
        const val DIM_IMG_SIZE_Y = 224
        const val DIM_BATCH_SIZE = 1
        const val DIM_PIXEL_SIZE = 3
        const val IMAGE_MEAN = 128
        private const val IMAGE_STD = 128.0f