#include <jni.h>
#include <string>
#include <vector>
// #include "ncnn/yolov5ncnn.h"

#include <fcntl.h>
#include <unistd.h>

#include <omp.h>

#include <android/imagedecoder.h>
#include <android/log.h>
#include <media/NdkImage.h>

#include <opencv2/opencv.hpp>
#include <opencv2/core.hpp>
#include <opencv2/imgproc.hpp>

#define HDR_TAG "HDR"
#define ALOGV(...) __android_log_print(ANDROID_LOG_VERBOSE, HDR_TAG,__VA_ARGS__)
#define ALOGI(...) __android_log_print(ANDROID_LOG_INFO, HDR_TAG,__VA_ARGS__)
#define ALOGD(...) __android_log_print(ANDROID_LOG_DEBUG, HDR_TAG, __VA_ARGS__)
#define ALOGW(...) __android_log_print(ANDROID_LOG_WARN, HDR_TAG, __VA_ARGS__)
#define ALOGE(...) __android_log_print(ANDROID_LOG_ERROR, HDR_TAG,__VA_ARGS__)


namespace cv2
{
    using namespace cv;

    Mat linearResponseNew(int channels)
    {
        Mat response = Mat(LDR_SIZE, 1, CV_MAKETYPE(CV_32F, channels));
        for(int i = 0; i < LDR_SIZE; i++) {
            response.at<Vec3f>(i) = Vec3f::all(static_cast<float>(i));
        }
        return response;
    }

    Mat triangleWeightsNew()
    {
        // hat function
        Mat w(LDR_SIZE, 1, CV_32F);
        int half = LDR_SIZE / 2;
        for(int i = 0; i < LDR_SIZE; i++) {
            w.at<float>(i) = i < half ? i + 1.0f : LDR_SIZE - i;
        }
        return w;
    }

    class CV_EXPORTS_W MergeExposuresNew
    {
    public:
        virtual ~MergeExposuresNew() {}
        /** @brief Merges images.

        @param src vector of input images
        @param dst result image
        @param times vector of exposure time values for each image
        @param response 256x1 matrix with inverse camera response function for each pixel value, it should
        have the same number of channels as images.
         */
        CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst,
                                     InputArray times, InputArray response) = 0;
    };

    class CV_EXPORTS_W MergeDebevecNew : public MergeExposuresNew
    {
    public:
        CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst,
                                     InputArray times, InputArray response) CV_OVERRIDE = 0;
        CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, InputArray times) = 0;
    };


    class MergeDebevecImplNew CV_FINAL : public MergeDebevecNew
    {
    public:
        MergeDebevecImplNew() :
                name("MergeDebevecNew"),
                weights(triangleWeightsNew())
        {
        }

        void process(InputArrayOfArrays src, OutputArray dst, InputArray _times, InputArray input_response) CV_OVERRIDE
        {
            // CV_INSTRUMENT_REGION();

            ALOGD("HDR Merge 1");
            std::vector<Mat> images;
            src.getMatVector(images);
            Mat times = _times.getMat();

#if 0
            CV_Assert(images.size() == times.total());
            checkImageDimensions(images);
            CV_Assert(images[0].depth() == CV_8U);
#endif

            int channels = images[0].channels();
            Size size = images[0].size();
            int CV_32FCC = CV_MAKETYPE(CV_32F, channels);

            ALOGD("HDR Merge 2");

            dst.create(images[0].size(), CV_32FCC);
            Mat result = dst.getMat();

            Mat response = input_response.getMat();

            if(response.empty()) {
                response = linearResponseNew(channels);
                response.at<Vec3f>(0) = response.at<Vec3f>(1);
            }

            ALOGD("HDR Merge 3");

            Mat log_response;
            log(response, log_response);
            CV_Assert(log_response.rows == LDR_SIZE && log_response.cols == 1 &&
                      log_response.channels() == channels);

            Mat exp_values(times.clone());
            log(exp_values, exp_values);

            ALOGD("HDR Merge 4");
            result = Mat::zeros(size, CV_32FCC);
            std::vector<Mat> result_split;
            split(result, result_split);
            Mat weight_sum = Mat::zeros(size, CV_32F);

            ALOGD("HDR Merge 5");

            for(size_t i = 0; i < images.size(); i++) {
                std::vector<Mat> splitted;
                split(images[i], splitted);

                ALOGD("HDR Merge 5 - 1");
                Mat w = Mat::zeros(size, CV_32F);
                for(int c = 0; c < channels; c++) {
                    LUT(splitted[c], weights, splitted[c]);
                    w += splitted[c];
                }
                w /= channels;

                ALOGD("HDR Merge 5 - 2");
                Mat response_img;
                LUT(images[i], log_response, response_img);
                split(response_img, splitted);

// #pragma omp parallel for num_threads(channels)
                for(int c = 0; c < channels; c++) {
                    //这里崩溃
                    result_split[c] += w.mul(splitted[c] - exp_values.at<float>((int)i));
                }
                weight_sum += w;
                ALOGD("HDR Merge 5 - 3");
            }

            ALOGD("HDR Merge 6");
            weight_sum = 1.0f / weight_sum;
            for(int c = 0; c < channels; c++) {
                result_split[c] = result_split[c].mul(weight_sum);
            }
            ALOGD("HDR Merge 7");
            merge(result_split, result);
            exp(result, result);

            ALOGD("HDR Merge 8");
        }

        void process(InputArrayOfArrays src, OutputArray dst, InputArray times) CV_OVERRIDE
        {
            // CV_INSTRUMENT_REGION();

            process(src, dst, times, Mat());
        }

    protected:
        String name;
        Mat weights;
    };

    Ptr<MergeDebevecNew> createMergeDebevecNew()
    {
        return makePtr<MergeDebevecImplNew>();
    }


    class CV_EXPORTS_W TonemapReinhardNew
    {
    public:
        CV_WRAP virtual void process(InputArray src, OutputArray dst) = 0;

        virtual ~TonemapReinhardNew() {}

        CV_WRAP virtual float getGamma() const = 0;
        CV_WRAP virtual void setGamma(float gamma) = 0;

        CV_WRAP virtual float getIntensity() const = 0;
        CV_WRAP virtual void setIntensity(float intensity) = 0;

        CV_WRAP virtual float getLightAdaptation() const = 0;
        CV_WRAP virtual void setLightAdaptation(float light_adapt) = 0;

        CV_WRAP virtual float getColorAdaptation() const = 0;
        CV_WRAP virtual void setColorAdaptation(float color_adapt) = 0;
    };

    inline void log_(const Mat& src, Mat& dst)
    {
        max(src, Scalar::all(1e-4), dst);
        log(dst, dst);
    }

    class TonemapReinhardImpl CV_FINAL : public TonemapReinhardNew
    {
    public:
        TonemapReinhardImpl(float _gamma, float _intensity, float _light_adapt, float _color_adapt) :
                name("TonemapReinhardNew"),
                gamma(_gamma),
                intensity(_intensity),
                light_adapt(_light_adapt),
                color_adapt(_color_adapt)
        {
        }

        void process(InputArray _src, OutputArray _dst) CV_OVERRIDE
        {
            ALOGD("HDR 1 ");

            Mat src = _src.getMat();
            CV_Assert(!src.empty());
            _dst.create(src.size(), CV_32FC3);
            Mat img = _dst.getMat();
            Ptr<Tonemap> linear = createTonemap(1.0f);
            linear->process(src, img);

            ALOGD("HDR 2 ");

            Mat gray_img;
            cvtColor(img, gray_img, COLOR_RGB2GRAY);
            Mat log_img;
            log_(gray_img, log_img);

            float log_mean = static_cast<float>(sum(log_img)[0] / log_img.total());
            double log_min, log_max;
            minMaxLoc(log_img, &log_min, &log_max);
            log_img.release();

            ALOGD("HDR 3 ");

            double key = static_cast<float>((log_max - log_mean) / (log_max - log_min));
            float map_key = 0.3f + 0.7f * pow(static_cast<float>(key), 1.4f);
            intensity = exp(-intensity);
            Scalar chan_mean = mean(img);
            float gray_mean = static_cast<float>(mean(gray_img)[0]);

            std::vector<Mat> channels(3);
            split(img, channels);

            ALOGD("HDR 4 ");

#pragma omp parallel for num_threads(3)
            for (int i = 0; i < 3; i++) {
                float global = color_adapt * static_cast<float>(chan_mean[i]) + (1.0f - color_adapt) * gray_mean;
                Mat adapt = color_adapt * channels[i] + (1.0f - color_adapt) * gray_img;
                adapt = light_adapt * adapt + (1.0f - light_adapt) * global;
                pow(intensity * adapt, map_key, adapt);
                //这里崩溃
                channels[i] = channels[i].mul(1.0f/(adapt + channels[i]));
            }
            gray_img.release();
            merge(channels, img);

            ALOGD("HDR 5 ");
            linear->setGamma(gamma);
            linear->process(img, img);

            ALOGD("HDR 6 ");
        }

        float getGamma() const CV_OVERRIDE { return gamma; }
        void setGamma(float val) CV_OVERRIDE { gamma = val; }

        float getIntensity() const CV_OVERRIDE { return intensity; }
        void setIntensity(float val) CV_OVERRIDE { intensity = val; }

        float getLightAdaptation() const CV_OVERRIDE { return light_adapt; }
        void setLightAdaptation(float val) CV_OVERRIDE { light_adapt = val; }

        float getColorAdaptation() const CV_OVERRIDE { return color_adapt; }
        void setColorAdaptation(float val) CV_OVERRIDE { color_adapt = val; }

        void write(FileStorage& fs) const
        {
#if 0
            writeFormat(fs);
            fs << "name" << name
               << "gamma" << gamma
               << "intensity" << intensity
               << "light_adapt" << light_adapt
               << "color_adapt" << color_adapt;
#endif
        }

        void read(const FileNode& fn)
        {
#if 0
            FileNode n = fn["name"];
            CV_Assert(n.isString() && String(n) == name);
            gamma = fn["gamma"];
            intensity = fn["intensity"];
            light_adapt = fn["light_adapt"];
            color_adapt = fn["color_adapt"];
#endif
        }

    protected:
        String name;
        float gamma, intensity, light_adapt, color_adapt;
    };

    Ptr<TonemapReinhardNew> createTonemapReinhardNew(float gamma, float contrast, float sigma_color, float sigma_space)
    {
        return makePtr<TonemapReinhardImpl>(gamma, contrast, sigma_color, sigma_space);
    }
};


bool AndroidBitmap_CompressWriteFile(void *userContext, const void *data, size_t size)
{
    int file = (int)((size_t)userContext);
    int bytesWritten = write(file, data, size);
    return bytesWritten == size;
}

bool AndroidBitmap_CompressWriteBuffer(void *userContext, const void *data, size_t size)
{
    std::vector<uint8_t>* buffer = (std::vector<uint8_t>*)userContext;
    // int bytesWritten = write(file, data, size);
    const uint8_t* pBytes = (const uint8_t*)data;
    buffer->insert(buffer->cend(), pBytes, pBytes + size);
    return true;
}

void ConvertDngToPng(const uint8_t* buffer, size_t bufferLength, std::vector<uint8_t>& pngData)
{
    AImageDecoder* imageDecoder = NULL;
    AImageDecoder_createFromBuffer(buffer, bufferLength, &imageDecoder);

    // int fd = open("/sdcard/com.xypower.mpapp/tmp/4.dng", O_RDONLY);
    // AImageDecoder_createFromFd(fd, &imageDecoder);

    const AImageDecoderHeaderInfo* headerInfo = AImageDecoder_getHeaderInfo(imageDecoder);
    const char *mimeType = AImageDecoderHeaderInfo_getMimeType(headerInfo);
    AndroidBitmapInfo bmpInfo = { 0 };
    bmpInfo.flags = AImageDecoderHeaderInfo_getAlphaFlags(headerInfo);
    bmpInfo.width = AImageDecoderHeaderInfo_getWidth(headerInfo);
    bmpInfo.height = AImageDecoderHeaderInfo_getHeight(headerInfo);
    bmpInfo.format = AImageDecoderHeaderInfo_getAndroidBitmapFormat(headerInfo);
    bmpInfo.stride = AImageDecoder_getMinimumStride(imageDecoder);  // Image decoder does not
    // use padding by default
    int32_t fmt = ANDROID_BITMAP_FORMAT_RGBA_8888;
    size_t stride = bmpInfo.width * 4;
    size_t size = stride * bmpInfo.height;
    size = bmpInfo.stride * bmpInfo.height;

    int32_t dataSpace = AImageDecoderHeaderInfo_getDataSpace(headerInfo);

    std::vector<uint8_t> frame;
    frame.resize(size);

    // AImageDecoder_setTargetSize(imageDecoder, 5376, 3024);
    int result = AImageDecoder_decodeImage(imageDecoder, (void *)(&frame[0]), bmpInfo.stride, size);

    // close(fd);

    if (result == ANDROID_IMAGE_DECODER_SUCCESS)
    {
        // std::string imagePath = "/data/data/com.xypower.mppreview/files/test.png";
        // int file = open(imagePath.c_str(), O_CREAT | O_RDWR | O_TRUNC, S_IRUSR | S_IWUSR);
        // if (file == -1) {}
        pngData.clear();
        AndroidBitmap_compress(&bmpInfo, dataSpace, &frame[0], ANDROID_BITMAP_COMPRESS_FORMAT_PNG, 100, (void*)&pngData, AndroidBitmap_CompressWriteBuffer);
        // close(file);
        std::vector<uint8_t> empty;
        empty.swap(frame);
    }

    AImageDecoder_delete(imageDecoder);
}

void ConvertDngToPng(const uint8_t* buffer, size_t bufferLength, cv::Mat& rgb)
{
    AImageDecoder* imageDecoder = NULL;
    AImageDecoder_createFromBuffer(buffer, bufferLength, &imageDecoder);

    // int fd = open("/sdcard/com.xypower.mpapp/tmp/4.dng", O_RDONLY);
    // AImageDecoder_createFromFd(fd, &imageDecoder);

    const AImageDecoderHeaderInfo* headerInfo = AImageDecoder_getHeaderInfo(imageDecoder);
    const char *mimeType = AImageDecoderHeaderInfo_getMimeType(headerInfo);
    AndroidBitmapInfo bmpInfo = { 0 };
    bmpInfo.flags = AImageDecoderHeaderInfo_getAlphaFlags(headerInfo);
    bmpInfo.width = AImageDecoderHeaderInfo_getWidth(headerInfo);
    bmpInfo.height = AImageDecoderHeaderInfo_getHeight(headerInfo);
    bmpInfo.format = AImageDecoderHeaderInfo_getAndroidBitmapFormat(headerInfo);
    bmpInfo.stride = AImageDecoder_getMinimumStride(imageDecoder);  // Image decoder does not
    // use padding by default
    int32_t fmt = ANDROID_BITMAP_FORMAT_RGBA_8888;
    size_t stride = bmpInfo.width * 4;
    size_t size = stride * bmpInfo.height;
    size = bmpInfo.stride * bmpInfo.height;

    int32_t dataSpace = AImageDecoderHeaderInfo_getDataSpace(headerInfo);

    std::vector<uint8_t> frame;
    frame.resize(size);

    // AImageDecoder_setTargetSize(imageDecoder, 5376, 3024);
    int result = AImageDecoder_decodeImage(imageDecoder, (void *)(&frame[0]), bmpInfo.stride, size);

    // close(fd);

    if (result == ANDROID_IMAGE_DECODER_SUCCESS)
    {
        cv::Mat tmp(bmpInfo.height, bmpInfo.width, CV_8UC4, &frame[0]);
        tmp.copyTo(rgb);

        //convert RGB to BGR
        cv::cvtColor(rgb, rgb, cv::COLOR_RGB2BGR);

        /*
        // std::string imagePath = "/data/data/com.xypower.mppreview/files/test.png";
        // int file = open(imagePath.c_str(), O_CREAT | O_RDWR | O_TRUNC, S_IRUSR | S_IWUSR);
        // if (file == -1) {}
        std::vector<uint8_t> pngData;
        result = AndroidBitmap_compress(&bmpInfo, dataSpace, &frame[0], ANDROID_BITMAP_COMPRESS_FORMAT_PNG, 100, (void*)&pngData, AndroidBitmap_CompressWriteBuffer);
        {
            std::vector<uint8_t> empty;
            empty.swap(frame);
        }
        // close(file);
        if (ANDROID_BITMAP_RESULT_SUCCESS == result)
        {
            rgb = cv::imdecode(pngData, cv::IMREAD_COLOR);
        }
         */
    }

    AImageDecoder_delete(imageDecoder);
}


inline std::string jstring2string(JNIEnv *env, jstring jStr)
{
    if (!jStr)
        return "";
    const jclass stringClass = env->GetObjectClass(jStr);
    const jmethodID getBytes = env->GetMethodID(stringClass, "getBytes", "(Ljava/lang/String;)[B");
    const jbyteArray stringJbytes = (jbyteArray) env->CallObjectMethod(jStr, getBytes, env->NewStringUTF("UTF-8"));
    size_t length = (size_t) env->GetArrayLength(stringJbytes);
    jbyte* pBytes = env->GetByteArrayElements(stringJbytes, NULL);
    std::string ret = std::string((char *)pBytes, length);
    env->ReleaseByteArrayElements(stringJbytes, pBytes, JNI_ABORT);
    env->DeleteLocalRef(stringJbytes);
    env->DeleteLocalRef(stringClass);
    return ret;
}

bool makeHdr(std::vector<float>& times, std::vector<std::string>& paths, cv::Mat& rgb)
{
    // Read images and exposure times
    std::vector<cv::Mat> images;
    images.resize(paths.size());

#pragma omp parallel for
    for (int idx = 0; idx < paths.size(); idx++)
    {
        images[idx] = cv::imread(paths[idx].c_str());
    }
    // Align input images
    // cout << "Aligning images ... " << endl;
    cv::Ptr<cv::AlignMTB> alignMTB = cv::createAlignMTB();
#if 0
    alignMTB->process(images, images);
#endif

    // Obtain Camera Response Function (CRF)
    // cout << "Calculating Camera Response Function (CRF) ... " << endl;
    cv::Mat responseDebevec;
    cv::Ptr<cv::CalibrateDebevec> calibrateDebevec = cv::createCalibrateDebevec();
    calibrateDebevec->process(images, responseDebevec, times);

    // Merge images into an HDR linear image
    // cout << "Merging images into one HDR image ... ";
    cv::Mat hdrDebevec;
    cv::Ptr<cv::MergeDebevec> mergeDebevec = cv::createMergeDebevec();
    mergeDebevec->process(images, hdrDebevec, times, responseDebevec);
    // Save HDR image.
    // imwrite((OUTPUT_DIR "hdrDebevec.hdr"), hdrDebevec);
    // cout << "saved hdrDebevec.hdr " << endl;

    {
        std::vector<cv::Mat> empty;
        empty.swap(images);
    }

    // Tonemap using Reinhard's method to obtain 24-bit color image
    // cout << "Tonemaping using Reinhard's method ... ";
    cv::Mat ldrReinhard;
    cv::Ptr<cv::TonemapReinhard> tonemapReinhard = cv::createTonemapReinhard(1.5, 0, 0, 0);
    tonemapReinhard->process(hdrDebevec, ldrReinhard);
    hdrDebevec.release();

    int type = ldrReinhard.type();
    ldrReinhard = ldrReinhard * 255;

    ldrReinhard.convertTo(rgb, CV_8U);
    ldrReinhard.release();

    return true;
}


bool makeHdr(std::vector<float>& times, std::vector<cv::Mat>& images, cv::Mat& rgb)
{
    // Read images and exposure times

    // Align input images
    // cout << "Aligning images ... " << endl;
    cv::Ptr<cv::AlignMTB> alignMTB = cv::createAlignMTB();
#if 0
    alignMTB->process(images, images);
#endif

    // Obtain Camera Response Function (CRF)
    ALOGI("Calculating Camera Response Function (CRF) ... ");
    cv::Mat responseDebevec;
    cv::Ptr<cv::CalibrateDebevec> calibrateDebevec = cv::createCalibrateDebevec();
    calibrateDebevec->process(images, responseDebevec, times);

    // Merge images into an HDR linear image
    ALOGI("Merging images into one HDR image ... ");
    cv::Mat hdrDebevec;
    cv::Ptr<cv::MergeDebevec> mergeDebevec = cv::createMergeDebevec();
    mergeDebevec->process(images, hdrDebevec, times, responseDebevec);
    // Save HDR image.
    // imwrite((OUTPUT_DIR "hdrDebevec.hdr"), hdrDebevec);
    // cout << "saved hdrDebevec.hdr " << endl;

    {
        std::vector<cv::Mat> empty;
        empty.swap(images);
    }

    // Tonemap using Reinhard's method to obtain 24-bit color image
    ALOGI("Tonemaping using Reinhard's method ... ");
    cv::Mat ldrReinhard;
    cv::Ptr<cv::TonemapReinhard> tonemapReinhard = cv::createTonemapReinhard(1.5, 0, 0, 0);
    tonemapReinhard->process(hdrDebevec, ldrReinhard);
    hdrDebevec.release();

    int type = ldrReinhard.type();
    ldrReinhard = ldrReinhard * 255;

    ldrReinhard.convertTo(rgb, CV_8U);
    ldrReinhard.release();

    return true;
}

extern "C"
JNIEXPORT jboolean JNICALL
Java_com_xypower_mppreview_Camera2RawFragment_makeHdr(
        JNIEnv *env, jobject thiz, jlong exposureTime1, jstring path1, jlong exposureTime2,
        jstring path2, jstring outputPath) {

    cv::setNumThreads(4);
    std::vector<float> times;
    std::vector<std::string> paths;

    times.push_back((double)(exposureTime1) / 1000000000.0);
    times.push_back((double)(exposureTime2) / 1000000000.0);

    paths.push_back(jstring2string(env, path1));
    paths.push_back(jstring2string(env, path2));

    cv::Mat rgb;
    if (makeHdr(times, paths, rgb))
    {
        std::string fileName = jstring2string(env, outputPath);
        if (cv::imwrite(fileName.c_str(), rgb))
        {
            return JNI_TRUE;
        }
    }

    return JNI_FALSE;
}

extern "C"
JNIEXPORT jboolean JNICALL
Java_com_xypower_mppreview_Camera2RawFragment_makeHdr2(
        JNIEnv *env, jobject thiz, jlong exposureTime1, jstring path1, jlong exposureTime2,
        jstring path2, jlong exposureTime3, jstring path3, jstring outputPath) {

    cv::setNumThreads(4);
    std::vector<float> times;
    std::vector<std::string> paths;

    times.push_back((float)(exposureTime1 / 1000) / 1000000.0);
    times.push_back((float)(exposureTime2 / 1000) / 1000000.0);
    times.push_back((float)(exposureTime3 / 1000) / 1000000.0);

    paths.push_back(jstring2string(env, path1));
    paths.push_back(jstring2string(env, path2));
    paths.push_back(jstring2string(env, path3));

    cv::Mat rgb;
    if (makeHdr(times, paths, rgb))
    {
        std::string fileName = jstring2string(env, outputPath);
        if (cv::imwrite(fileName.c_str(), rgb))
        {
            return JNI_TRUE;
        }
    }

    return JNI_FALSE;
}


//extern "C"
//JNIEXPORT void JNICALL
//Java_com_xypower_mppreview_Camera2RawFragment_makeHdr3(JNIEnv *env,
//                           jobject thiz,
//                           jlong img1_obj,
//                           jlong img2_obj,
//                           jlong img3_obj,
//                           jfloat time1,
//                           jfloat time2,
//                           jfloat time3,
//                           jlong hdrImg) {
//    cv::Mat &mImg1 = *(cv::Mat *) img1_obj;
//    cv::Mat &mImg2 = *(cv::Mat *) img2_obj;
//    cv::Mat &mImg3 = *(cv::Mat *) img3_obj;
//
//    vector<cv::Mat> images;
//    vector<float> times;
//    images.push_back(mImg1);
//    images.push_back(mImg2);
//    images.push_back(mImg3);
//
//    //曝光时间列表
//    static const float timesArray[] = { time1,time2,time3};
//    times.assign(timesArray, timesArray + 3);
//
//    //利用中值阈值图（MTB）进行对齐
//    /*Ptr<AlignMTB> alignMTB = createAlignMTB();
//    alignMTB->process(images, images);
//
//    //恢复相机响应函数
//    Mat responce;
//    Ptr<CalibrateDebevec> calibratedebevec = createCalibrateDebevec();
//    calibratedebevec->process(images, responce, times);*/
//
//    //融合
//    cv::Mat hdrMat;
//    Ptr<MergeDebevec> mergedebevec = createMergeDebevec();
//    mergedebevec->process(images, hdrMat, times);
//
//    cv::Mat sdr;
//    float gamma = 1.0f;
//    Ptr<Tonemap> tonemap = createTonemap(gamma);
//    tonemap->process(hdrMat, hdrMat);
//
//    hdrMat = hdrMat * 255;
//    hdrMat.convertTo(*(Mat *)hdrImg, CV_8UC3);
//
//    //hdrImg = cv::normalize(images, None, 0, 255, cv::NORM_MINMAX, cv::CV_8UC3)
//
//    /*Mat fusion;
//    Ptr<MergeMertens> merge_mertens = createMergeMertens();
//    merge_mertens->process(images, *(Mat *)hdrImg);*/
//}
extern "C"
JNIEXPORT void JNICALL
Java_com_xypower_mppreview_MainActivity_test(JNIEnv *env, jobject thiz) {
    // TODO: implement test()
}
extern "C"
JNIEXPORT jboolean JNICALL
Java_com_xypower_mppreview_Camera2RawFragment_makeHdr3(JNIEnv *env, jclass clazz,
                                                       jlong exposureTime1, jobject img1, jint length1,
                                                       jlong exposureTime2, jobject img2, jint length2,
                                                       jstring outputPath) {

    ALOGI("Start HDR3");

    std::vector<cv::Mat> images;
    images.resize(2);

    std::vector<jobject> bitmaps;
    bitmaps.push_back(img1);
    bitmaps.push_back(img2);

    ALOGI("Start Decode");
    // omp_set_num_threads(2);
// #pragma omp parallel for num_threads(2)
    for (int idx = 0; idx < 2; idx++)
    {
        AndroidBitmapInfo bmpInfo = { 0 };
        int result = AndroidBitmap_getInfo(env, bitmaps[idx], &bmpInfo);

        if ((ANDROID_BITMAP_FLAGS_IS_HARDWARE & bmpInfo.flags) == ANDROID_BITMAP_FLAGS_IS_HARDWARE)
        {
            AHardwareBuffer* hardwareBuffer = NULL;
            result = AndroidBitmap_getHardwareBuffer(env, bitmaps[idx], &hardwareBuffer);

            void* outVirtualAddress = NULL;
            int32_t fence = -1;
            result = AHardwareBuffer_lock(hardwareBuffer, AHARDWAREBUFFER_USAGE_CPU_READ_RARELY, fence, NULL, &outVirtualAddress);
            cv::Mat tmp(bmpInfo.height, bmpInfo.width, CV_8UC4, outVirtualAddress);
            AHardwareBuffer_unlock(hardwareBuffer, &fence);
            tmp.copyTo(images[idx]);
        }
        else
        {
            void* outAddress = NULL;
            result = AndroidBitmap_lockPixels(env, bitmaps[idx], &outAddress);
            cv::Mat tmp(bmpInfo.height, bmpInfo.width, CV_8UC4, outAddress);
            AndroidBitmap_unlockPixels(env, bitmaps[idx]);
            tmp.copyTo(images[idx]);
        }

        //convert RGB to BGR
        cv::cvtColor(images[idx], images[idx], cv::COLOR_RGB2BGR);

        // ConvertDngToPng(pngDatas[idx], pngLengths[idx], images[idx]);
    }

    ALOGI("End Decode");
    cv::Mat rgb;

    std::vector<float> times;
    times.push_back((double)(exposureTime1) / 1000000000.0);
    times.push_back((double)(exposureTime2) / 1000000000.0);

    ALOGI("Start MakeHDR3");
    makeHdr(times, images, rgb);
    ALOGI("End MakeHDR3");

    std::string fileName = jstring2string(env, outputPath);
    std::vector<int> params;
    params.push_back(cv::IMWRITE_JPEG_QUALITY);
    params.push_back(100);
    if (cv::imwrite(fileName.c_str(), rgb, params))
    {
        ALOGI("End HDR3");
        return JNI_TRUE;
    }

    // env->DeleteGlobalRef(img1);
    // env->DeleteGlobalRef(img2);

    return JNI_FALSE;
}
extern "C"
JNIEXPORT jboolean JNICALL
Java_com_xypower_mppreview_Camera2RawFragment_decodeDng(JNIEnv *env, jclass clazz,
                                                        jobject byte_buffer, jstring output_path) {
    // TODO: implement decodeDng()
}