examples/tutorial_api_cpp/09_keypoints_from_heatmaps.cpp

// ----------------------- OpenPose C++ API Tutorial - Example 9 - Keypoints from heatmaps -----------------------
// It reads a custom set of heatmaps and run the OpenPose greedy connection algorithm.
// OpenPose will not run its internal body pose estimation network and will instead use
// this data as the substitute of its network. The size of this element must match the size of the output of
// its internal network, or it will lead to core dumped (segmentation) errors. You can modify the pose
// estimation flags to match the dimension of both elements (e.g., `--net_resolution`, `--scale_number`, etc.).

// Third-party dependencies
#include <opencv2/opencv.hpp>
// Command-line user interface
#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
void display(const std::shared_ptr<std::vector<std::shared_ptr<op::Datum>>>& datumsPtr)
{
    try
    {
        // User's displaying/saving/other processing here
            // datum.cvOutputData: rendered frame with pose or heatmaps
            // datum.poseKeypoints: Array<float> with the estimated pose
        if (datumsPtr != nullptr && !datumsPtr->empty())
        {
            // Display image
            const cv::Mat cvMat = OP_OP2CVCONSTMAT(datumsPtr->at(0)->cvOutputData);
            if (!cvMat.empty())
            {
                cv::imshow(OPEN_POSE_NAME_AND_VERSION + " - Tutorial C++ API", cvMat);
                cv::waitKey(0);
            }
            else
                op::opLog("Empty cv::Mat as output.", op::Priority::High, __LINE__, __FUNCTION__, __FILE__);
        }
        else
            op::opLog("Nullptr or empty datumsPtr found.", op::Priority::High);
    }
    catch (const std::exception& e)
    {
        op::error(e.what(), __LINE__, __FUNCTION__, __FILE__);
    }
}

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())
        {
            op::opLog("Body keypoints: " + datumsPtr->at(0)->poseKeypoints.toString(), op::Priority::High);
            op::opLog("Face keypoints: " + datumsPtr->at(0)->faceKeypoints.toString(), op::Priority::High);
            op::opLog("Left hand keypoints: " + datumsPtr->at(0)->handKeypoints[0].toString(), op::Priority::High);
            op::opLog("Right hand keypoints: " + datumsPtr->at(0)->handKeypoints[1].toString(), op::Priority::High);
        }
        else
            op::opLog("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::checkBool(
            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(op::String(FLAGS_output_resolution), "-1x-1");
        // netInputSize
        const auto netInputSize = op::flagsToPoint(op::String(FLAGS_net_resolution), "-1x368");
        // faceNetInputSize
        const auto faceNetInputSize = op::flagsToPoint(op::String(FLAGS_face_net_resolution), "368x368 (multiples of 16)");
        // handNetInputSize
        const auto handNetInputSize = op::flagsToPoint(op::String(FLAGS_hand_net_resolution), "368x368 (multiples of 16)");
        // poseMode
        const auto poseMode = op::flagsToPoseMode(FLAGS_body);
        // poseModel
        const auto poseModel = op::flagsToPoseModel(op::String(FLAGS_model_pose));
        // JSON saving
        if (!FLAGS_write_keypoint.empty())
            op::opLog(
                "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, FLAGS_net_resolution_dynamic, 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, op::String(FLAGS_model_folder),
            heatMapTypes, heatMapScaleMode, FLAGS_part_candidates, (float)FLAGS_render_threshold,
            FLAGS_number_people_max, FLAGS_maximize_positives, FLAGS_fps_max, op::String(FLAGS_prototxt_path),
            op::String(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, op::String(FLAGS_write_keypoint), op::stringToDataFormat(FLAGS_write_keypoint_format),
            op::String(FLAGS_write_json), op::String(FLAGS_write_coco_json), FLAGS_write_coco_json_variants,
            FLAGS_write_coco_json_variant, op::String(FLAGS_write_images), op::String(FLAGS_write_images_format),
            op::String(FLAGS_write_video), FLAGS_write_video_fps, FLAGS_write_video_with_audio,
            op::String(FLAGS_write_heatmaps), op::String(FLAGS_write_heatmaps_format), op::String(FLAGS_write_video_3d),
            op::String(FLAGS_write_video_adam), op::String(FLAGS_write_bvh), op::String(FLAGS_udp_host),
            op::String(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::opLog("Starting OpenPose demo...", op::Priority::High);
        const auto opTimer = op::getTimerInit();

        // Image to process
        const cv::Mat cvImageToProcess = cv::imread(FLAGS_image_path);
        const op::Matrix imageToProcess = OP_CV2OPCONSTMAT(cvImageToProcess);

        // Required flags to disable the OpenPose network
        FLAGS_body = 2;

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

        // Heatmap set selection
        std::shared_ptr<std::vector<std::shared_ptr<op::Datum>>> datumHeatmaps;
        // Using a random set of heatmaps
        // Replace the following lines inside the try-catch block with your custom heatmap generator
        try
        {
            op::opLog("Temporarily running another OpenPose instance to get the heatmaps...", op::Priority::High);
            // Required flags to enable heatmaps
            FLAGS_heatmaps_add_parts = true;
            FLAGS_heatmaps_add_bkg = true;
            FLAGS_heatmaps_add_PAFs = true;
            FLAGS_heatmaps_scale = 3;
            FLAGS_upsampling_ratio = 1;
            FLAGS_body = 1;

            // Configuring OpenPose
            op::Wrapper opWrapperGetHeatMaps{op::ThreadManagerMode::Asynchronous};
            configureWrapper(opWrapperGetHeatMaps);

            // Starting OpenPose
            opWrapperGetHeatMaps.start();

            // Get heatmaps
            datumHeatmaps = opWrapperGetHeatMaps.emplaceAndPop(imageToProcess);
            if (datumHeatmaps == nullptr)
                op::error("Image could not be processed.", __LINE__, __FUNCTION__, __FILE__);
        }
        catch (const std::exception& e)
        {
            op::error(e.what(), __LINE__, __FUNCTION__, __FILE__);
        }

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

        // Create new datum
        auto datumProcessed = std::make_shared<std::vector<std::shared_ptr<op::Datum>>>();
        datumProcessed->emplace_back();
        auto& datumPtr = datumProcessed->at(0);
        datumPtr = std::make_shared<op::Datum>();

        // Fill datum
        datumPtr->cvInputData = imageToProcess;
        datumPtr->poseNetOutput = datumHeatmaps->at(0)->poseHeatMaps;

        // Display image
        if (opWrapper.emplaceAndPop(datumProcessed))
        {
            printKeypoints(datumProcessed);
            if (!FLAGS_no_display)
                display(datumProcessed);
        }
        else
            op::opLog("Image could not be processed.", op::Priority::High);

        // Info
        op::opLog("NOTE: In addition with the user flags, this demo has auto-selected the following flags:\n"
                "\t`--body 2`", 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();
}