Static buffer inference on Android

git clone https://github.com/edgeimpulse/example-android-inferencing.git
cd example-android-inferencing/example_static_buffer

cd app/src/main/cpp/tflite

# Windows
download_tflite_libs.bat

# macOS/Linux
sh download_tflite_libs.sh

app/src/main/cpp/
├── edge-impulse-sdk/
├── model-parameters/
├── tflite-model/
├── native-lib.cpp
└── CMakeLists.txt

// app/src/main/cpp/native-lib.cpp
std::vector<float> raw_features = {
    // Paste your raw features here
    -1.2, 0.5, 2.1, ...
};

// native-lib.cpp
extern "C" JNIEXPORT jstring JNICALL
Java_com_example_test_1cpp_MainActivity_runInference(
    JNIEnv* env, jobject /* this */) {
    
    // Create signal from raw features
    signal_t signal;
    signal.total_length = raw_features.size();
    signal.get_data = &get_feature_data;
    
    // Run classifier
    ei_impulse_result_t result = {0};
    EI_IMPULSE_ERROR res = run_classifier(&signal, &result, false);
    
    // Format results
    return env->NewStringUTF(format_results(result).c_str());
}

// MainActivity.kt
class MainActivity : AppCompatActivity() {
    private external fun runInference(): String
    
    override fun onCreate(savedInstanceState: Bundle?) {
        super.onCreate(savedInstanceState)
        
        // Load native library
        System.loadLibrary("test_cpp")
        
        // Run inference and display
        val result = runInference()
        resultTextView.text = result
    }
}