// ----------------------- OpenPose C++ API Tutorial - Example 8 - Heatmaps from image -----------------------
// It reads an image, process it, and displays it with the body heatmaps. In addition, it includes all the
// OpenPose configuration flags (enable/disable hand, face, output saving, etc.).

// Command-line user intraface
#define OPENPOSE_FLAGS_DISABLE_PRODUCER
#define OPENPOSE_FLAGS_DISABLE_DISPLAY
#include <openpose/flags.hpp>
// OpenPose dependencies
#include <openpose/headers.hpp>

// Custom OpenPose flags
// Producer
DEFINE_string(image_path, "examples/media/COCO_val2014_000000000294.jpg",
    "Process an image. Read all standard formats (jpg, png, bmp, etc.).");
// Display
DEFINE_bool(no_display,                 false,
    "Enable to disable the visual display.");

// This worker will just read and return all the jpg files in a directory
bool display(
    const std::shared_ptr<std::vector<std::shared_ptr<op::Datum>>>& datumsPtr, const int desiredChannel = 0)
{
    try
    {
        if (datumsPtr != nullptr && !datumsPtr->empty())
        {
            // Note: Heatmaps are in net_resolution size, which does not necessarily match the final image size
            // Read heatmaps
            auto& poseHeatMaps = datumsPtr->at(0)->poseHeatMaps;
            // Read desired channel
            const auto numberChannels = poseHeatMaps.getSize(0);
            const auto height = poseHeatMaps.getSize(1);
            const auto width = poseHeatMaps.getSize(2);
            const cv::Mat desiredChannelHeatMap(
                height, width, CV_32F, &poseHeatMaps.getPtr()[desiredChannel % numberChannels*height*width]);
            // Read image used from OpenPose body network (same resolution than heatmaps)
            auto& inputNetData = datumsPtr->at(0)->inputNetData[0];
            const cv::Mat inputNetDataB(
                height, width, CV_32F, &inputNetData.getPtr()[0]);
            const cv::Mat inputNetDataG(
                height, width, CV_32F, &inputNetData.getPtr()[height*width]);
            const cv::Mat inputNetDataR(
                height, width, CV_32F, &inputNetData.getPtr()[2*height*width]);
            cv::Mat netInputImage;
            cv::merge(std::vector<cv::Mat>{inputNetDataB, inputNetDataG, inputNetDataR}, netInputImage);
            netInputImage = (netInputImage+0.5)*255;
            // Turn into uint8 cv::Mat
            cv::Mat netInputImageUint8;
            netInputImage.convertTo(netInputImageUint8, CV_8UC1);
            cv::Mat desiredChannelHeatMapUint8;
            desiredChannelHeatMap.convertTo(desiredChannelHeatMapUint8, CV_8UC1);
            // Combining both images
            cv::Mat imageToRender;
            cv::applyColorMap(desiredChannelHeatMapUint8, desiredChannelHeatMapUint8, cv::COLORMAP_JET);
            cv::addWeighted(netInputImageUint8, 0.5, desiredChannelHeatMapUint8, 0.5, 0., imageToRender);
            // Display image
            cv::imshow(OPEN_POSE_NAME_AND_VERSION + " - Tutorial C++ API", imageToRender);
        }
        else
            op::log("Nullptr or empty datumsPtr found.", op::Priority::High);
        const auto key = (char)cv::waitKey(1);
        return (key == 27);
    }
    catch (const std::exception& e)
    {
        op::error(e.what(), __LINE__, __FUNCTION__, __FILE__);
        return true;
    }
}

void printKeypoints(const std::shared_ptr<std::vector<std::shared_ptr<op::Datum>>>& datumsPtr)
{
    try
    {
        // Example: How to use the pose keypoints
        if (datumsPtr != nullptr && !datumsPtr->empty())
        {
            const auto& poseHeatMaps = datumsPtr->at(0)->poseHeatMaps;
            const auto numberChannels = poseHeatMaps.getSize(0);
            const auto height = poseHeatMaps.getSize(1);
            const auto width = poseHeatMaps.getSize(2);
            op::log("Body heatmaps has " + std::to_string(numberChannels) + " channels, and each channel has a"
                    " dimension of " + std::to_string(width) + " x " + std::to_string(height) + " pixels.",
                    op::Priority::High);
        }
        else
            op::log("Nullptr or empty datumsPtr found.", op::Priority::High);
    }
    catch (const std::exception& e)
    {
        op::error(e.what(), __LINE__, __FUNCTION__, __FILE__);
    }
}

void configureWrapper(op::Wrapper& opWrapper)
{
    try
    {
        // Configuring OpenPose

        // logging_level
        op::check(0 <= FLAGS_logging_level && FLAGS_logging_level <= 255, "Wrong logging_level value.",
                  __LINE__, __FUNCTION__, __FILE__);
        op::ConfigureLog::setPriorityThreshold((op::Priority)FLAGS_logging_level);
        op::Profiler::setDefaultX(FLAGS_profile_speed);

        // Applying user defined configuration - GFlags to program variables
        // outputSize
        const auto outputSize = op::flagsToPoint(FLAGS_output_resolution, "-1x-1");
        // netInputSize
        const auto netInputSize = op::flagsToPoint(FLAGS_net_resolution, "-1x368");
        // faceNetInputSize
        const auto faceNetInputSize = op::flagsToPoint(FLAGS_face_net_resolution, "368x368 (multiples of 16)");
        // handNetInputSize
        const auto handNetInputSize = op::flagsToPoint(FLAGS_hand_net_resolution, "368x368 (multiples of 16)");
        // poseMode
        const auto poseMode = op::flagsToPoseMode(FLAGS_body);
        // poseModel
        const auto poseModel = op::flagsToPoseModel(FLAGS_model_pose);
        // JSON saving
        if (!FLAGS_write_keypoint.empty())
            op::log("Flag `write_keypoint` is deprecated and will eventually be removed."
                    " Please, use `write_json` instead.", op::Priority::Max);
        // keypointScaleMode
        const auto keypointScaleMode = op::flagsToScaleMode(FLAGS_keypoint_scale);
        // heatmaps to add
        const auto heatMapTypes = op::flagsToHeatMaps(FLAGS_heatmaps_add_parts, FLAGS_heatmaps_add_bkg,
                                                      FLAGS_heatmaps_add_PAFs);
        const auto heatMapScaleMode = op::flagsToHeatMapScaleMode(FLAGS_heatmaps_scale);
        // >1 camera view?
        const auto multipleView = (FLAGS_3d || FLAGS_3d_views > 1);
        // Face and hand detectors
        const auto faceDetector = op::flagsToDetector(FLAGS_face_detector);
        const auto handDetector = op::flagsToDetector(FLAGS_hand_detector);
        // Enabling Google Logging
        const bool enableGoogleLogging = true;

        // Pose configuration (use WrapperStructPose{} for default and recommended configuration)
        const op::WrapperStructPose wrapperStructPose{
            poseMode, netInputSize, outputSize, keypointScaleMode, FLAGS_num_gpu, FLAGS_num_gpu_start,
            FLAGS_scale_number, (float)FLAGS_scale_gap, op::flagsToRenderMode(FLAGS_render_pose, multipleView),
            poseModel, !FLAGS_disable_blending, (float)FLAGS_alpha_pose, (float)FLAGS_alpha_heatmap,
            FLAGS_part_to_show, FLAGS_model_folder, heatMapTypes, heatMapScaleMode, FLAGS_part_candidates,
            (float)FLAGS_render_threshold, FLAGS_number_people_max, FLAGS_maximize_positives, FLAGS_fps_max,
            FLAGS_prototxt_path, FLAGS_caffemodel_path, (float)FLAGS_upsampling_ratio, enableGoogleLogging};
        opWrapper.configure(wrapperStructPose);
        // Face configuration (use op::WrapperStructFace{} to disable it)
        const op::WrapperStructFace wrapperStructFace{
            FLAGS_face, faceDetector, faceNetInputSize,
            op::flagsToRenderMode(FLAGS_face_render, multipleView, FLAGS_render_pose),
            (float)FLAGS_face_alpha_pose, (float)FLAGS_face_alpha_heatmap, (float)FLAGS_face_render_threshold};
        opWrapper.configure(wrapperStructFace);
        // Hand configuration (use op::WrapperStructHand{} to disable it)
        const op::WrapperStructHand wrapperStructHand{
            FLAGS_hand, handDetector, handNetInputSize, FLAGS_hand_scale_number, (float)FLAGS_hand_scale_range,
            op::flagsToRenderMode(FLAGS_hand_render, multipleView, FLAGS_render_pose), (float)FLAGS_hand_alpha_pose,
            (float)FLAGS_hand_alpha_heatmap, (float)FLAGS_hand_render_threshold};
        opWrapper.configure(wrapperStructHand);
        // Extra functionality configuration (use op::WrapperStructExtra{} to disable it)
        const op::WrapperStructExtra wrapperStructExtra{
            FLAGS_3d, FLAGS_3d_min_views, FLAGS_identification, FLAGS_tracking, FLAGS_ik_threads};
        opWrapper.configure(wrapperStructExtra);
        // Output (comment or use default argument to disable any output)
        const op::WrapperStructOutput wrapperStructOutput{
            FLAGS_cli_verbose, FLAGS_write_keypoint, op::stringToDataFormat(FLAGS_write_keypoint_format),
            FLAGS_write_json, FLAGS_write_coco_json, FLAGS_write_coco_json_variants, FLAGS_write_coco_json_variant,
            FLAGS_write_images, FLAGS_write_images_format, FLAGS_write_video, FLAGS_write_video_fps,
            FLAGS_write_video_with_audio, FLAGS_write_heatmaps, FLAGS_write_heatmaps_format, FLAGS_write_video_3d,
            FLAGS_write_video_adam, FLAGS_write_bvh, FLAGS_udp_host, FLAGS_udp_port};
        opWrapper.configure(wrapperStructOutput);
        // No GUI. Equivalent to: opWrapper.configure(op::WrapperStructGui{});
        // Set to single-thread (for sequential processing and/or debugging and/or reducing latency)
        if (FLAGS_disable_multi_thread)
            opWrapper.disableMultiThreading();
    }
    catch (const std::exception& e)
    {
        op::error(e.what(), __LINE__, __FUNCTION__, __FILE__);
    }
}

int tutorialApiCpp()
{
    try
    {
        op::log("Starting OpenPose demo...", op::Priority::High);
        const auto opTimer = op::getTimerInit();

        // Required flags to enable heatmaps
        FLAGS_heatmaps_add_parts = true;
        FLAGS_heatmaps_add_bkg = true;
        FLAGS_heatmaps_add_PAFs = true;
        FLAGS_heatmaps_scale = 2;

        // Configuring OpenPose
        op::log("Configuring OpenPose...", op::Priority::High);
        op::Wrapper opWrapper{op::ThreadManagerMode::Asynchronous};
        configureWrapper(opWrapper);

        // Starting OpenPose
        op::log("Starting thread(s)...", op::Priority::High);
        opWrapper.start();

        // Process and display image
        const auto imageToProcess = cv::imread(FLAGS_image_path);
        auto datumProcessed = opWrapper.emplaceAndPop(imageToProcess);
        if (datumProcessed != nullptr)
        {
            printKeypoints(datumProcessed);
            if (!FLAGS_no_display)
            {
                const auto numberChannels = datumProcessed->at(0)->poseHeatMaps.getSize(0);
                for (auto desiredChannel = 0 ; desiredChannel < numberChannels ; desiredChannel++)
                    if (display(datumProcessed, desiredChannel))
                        break;
            }
        }
        else
            op::log("Image could not be processed.", op::Priority::High);

        // Info
        op::log("NOTE: In addition with the user flags, this demo has auto-selected the following flags:\n"
                "\t`--heatmaps_add_parts --heatmaps_add_bkg --heatmaps_add_PAFs`",
                op::Priority::High);

        // Measuring total time
        op::printTime(opTimer, "OpenPose demo successfully finished. Total time: ", " seconds.", op::Priority::High);

        // Return
        return 0;
    }
    catch (const std::exception&)
    {
        return -1;
    }
}

int main(int argc, char *argv[])
{
    // Parsing command line flags
    gflags::ParseCommandLineFlags(&argc, &argv, true);

    // Running tutorialApiCpp
    return tutorialApiCpp();
}
