git clone https://github.com/tensorflow/tensorflow

cd tensorflow
./configure

android_ndk_repository(name = "androidndk", # Required. Name *must* be "androidndk".api_level = 21,
)

bazel build -c opt --crosstool_top=//external:android/crosstool
--host_crosstool_top=@bazel_tools//tools/cpp:toolchain --cxxopt="-std=c++11"
--fat_apk_cpu=armeabi-v7a --config=android_arm
//tensorflow/lite:libtensorflowlite.so

LOCAL_PATH := $(call my-dir)OpenCV_BASE = /Users/xindongzhang/armnn-tflite/OpenCV-android-sdk/
TFLITE_BASE = /Users/xindongzhang/Desktop/tflite-cpp/jni/tensorflow
FLATBUFFER_BASE = /Users/xindongzhang/armnn-tflite/flatbuffers/include $(CLEAR_VARS)
LOCAL_MODULE := TFLITE
LOCAL_SRC_FILES := $(TFLITE_BASE)/bazel-bin/tensorflow/lite/libtensorflowlite.so
include $(PREBUILT_SHARED_LIBRARY)include $(CLEAR_VARS)
OpenCV_INSTALL_MODULES := on
OPENCV_LIB_TYPE := STATIC
include $(OpenCV_BASE)/sdk/native/jni/OpenCV.mk
LOCAL_MODULE := tflite_ssdLOCAL_C_INCLUDES += $(OPENCV_INCLUDE_DIR)
LOCAL_C_INCLUDES += $(TFLITE_BASE)/tensorflow
LOCAL_C_INCLUDES += $(TFLITE_BASE)
LOCAL_C_INCLUDES += $(FLATBUFFER_BASE)/includeLOCAL_SRC_FILES :=                        main.cpp                  LOCAL_LDLIBS := -landroid -llog -ldl -lz -fuse-ld=gold
LOCAL_CFLAGS   := -O2 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing
-ffunction-sections -fdata-sections -ffast-math -ftree-vectorize -fPIC -Ofast    -ffast-math -w -std=c++14
LOCAL_CPPFLAGS := -O2 -fvisibility=hidden -fvisibility-inlines-hidden
-fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections
-ffast-math -fPIC -Ofast -ffast-math -std=c++14
LOCAL_LDFLAGS  += -Wl,--gc-sections
LOCAL_CFLAGS   += -fopenmp
LOCAL_CPPFLAGS += -fopenmp
LOCAL_LDFLAGS  += -fopenmp
LOCAL_ARM_NEON := trueAPP_ALLOW_MISSING_DEPS = trueLOCAL_SHARED_LIBRARIES :=                             TFLITE             include $(BUILD_EXECUTABLE)

    std::string model_file = "./detect.tflite";std::string image_file = "./322353.jpg";int INPUT_SIZE = 300;cv::Mat raw_image = cv::imread(image_file, 1);cv::Mat image;  cv::resize(raw_image, image, cv::Size(INPUT_SIZE, INPUT_SIZE));image.convertTo(image, CV_32FC3);image = (image * 2.0f / 255.0f) - 1.0f;std::unique_ptr<tflite::FlatBufferModel> model;tflite::ops::builtin::BuiltinOpResolver resolver;std::unique_ptr<tflite::Interpreter> interpreter;TfLiteTensor* input_tensor     = nullptr;TfLiteTensor* output_locations = nullptr;TfLiteTensor* output_classes   = nullptr;TfLiteTensor* output_scores    = nullptr;TfLiteTensor* num_detections   = nullptr;model = tflite::FlatBufferModel::BuildFromFile(model_file.c_str());tflite::InterpreterBuilder(*model, resolver)(&interpreter);interpreter->AllocateTensors();input_tensor = interpreter->tensor(interpreter->inputs()[0]);interpreter->SetNumThreads(1);// preprocessingfloat* dst = input_tensor->data.f;const int row_elems = image.cols * image.channels();for (int row = 0; row < image.rows; row++) {const uchar* row_ptr = image.ptr(row);for (int i = 0; i < row_elems; i++) {dst[i] = row_ptr[i];}dst += row_elems;}// run inferenceinterpreter->Invoke();// get output output_locations = interpreter->tensor(interpreter->outputs()[0]);output_classes   = interpreter->tensor(interpreter->outputs()[1]);