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Queue size configurable through wrapper and cleaned examples
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gineshidalgo99
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// ----------------------------- OpenPose C++ API Tutorial - Example 6 - Face from Image -----------------------------
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// It reads an image and the face location, process it, and displays the face keypoints. In addition,
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// it includes all the OpenPose configuration flags.
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// Input: An image and the face rectangle locations.
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// Output: OpenPose face keypoint detection.
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// NOTE: This demo is auto-selecting the following flags: `--body_disable --face --face_detector 2`
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// Command-line user intraface
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#define OPENPOSE_FLAGS_DISABLE_PRODUCER
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#define OPENPOSE_FLAGS_DISABLE_DISPLAY
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#include <openpose/flags.hpp>
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// OpenPose dependencies
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#include <openpose/headers.hpp>
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// Custom OpenPose flags
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// Producer
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DEFINE_string(image_path, "examples/media/COCO_val2014_000000000241.jpg",
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"Process an image. Read all standard formats (jpg, png, bmp, etc.).");
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// Display
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DEFINE_bool(no_display, false,
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"Enable to disable the visual display.");
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// This worker will just read and return all the jpg files in a directory
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void display(const std::shared_ptr<std::vector<std::shared_ptr<op::Datum>>>& datumsPtr)
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{
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try
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{
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// User's displaying/saving/other processing here
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// datum.cvOutputData: rendered frame with pose or heatmaps
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// datum.poseKeypoints: Array<float> with the estimated pose
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if (datumsPtr != nullptr && !datumsPtr->empty())
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{
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// Display image
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cv::imshow(OPEN_POSE_NAME_AND_VERSION + " - Tutorial C++ API", datumsPtr->at(0)->cvOutputData);
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cv::waitKey(0);
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}
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else
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op::log("Nullptr or empty datumsPtr found.", op::Priority::High);
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}
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catch (const std::exception& e)
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{
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op::error(e.what(), __LINE__, __FUNCTION__, __FILE__);
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}
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}
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void printKeypoints(const std::shared_ptr<std::vector<std::shared_ptr<op::Datum>>>& datumsPtr)
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{
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try
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{
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// Example: How to use the pose keypoints
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if (datumsPtr != nullptr && !datumsPtr->empty())
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{
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op::log("Body keypoints: " + datumsPtr->at(0)->poseKeypoints.toString());
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op::log("Face keypoints: " + datumsPtr->at(0)->faceKeypoints.toString());
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op::log("Left hand keypoints: " + datumsPtr->at(0)->handKeypoints[0].toString());
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op::log("Right hand keypoints: " + datumsPtr->at(0)->handKeypoints[1].toString());
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}
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else
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op::log("Nullptr or empty datumsPtr found.", op::Priority::High);
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}
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catch (const std::exception& e)
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{
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op::error(e.what(), __LINE__, __FUNCTION__, __FILE__);
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}
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}
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void configureWrapper(op::Wrapper& opWrapper)
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{
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try
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{
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// Configuring OpenPose
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// logging_level
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op::check(0 <= FLAGS_logging_level && FLAGS_logging_level <= 255, "Wrong logging_level value.",
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__LINE__, __FUNCTION__, __FILE__);
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op::ConfigureLog::setPriorityThreshold((op::Priority)FLAGS_logging_level);
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op::Profiler::setDefaultX(FLAGS_profile_speed);
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// Applying user defined configuration - GFlags to program variables
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// outputSize
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const auto outputSize = op::flagsToPoint(FLAGS_output_resolution, "-1x-1");
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// netInputSize
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const auto netInputSize = op::flagsToPoint(FLAGS_net_resolution, "-1x368");
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// faceNetInputSize
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const auto faceNetInputSize = op::flagsToPoint(FLAGS_face_net_resolution, "368x368 (multiples of 16)");
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// handNetInputSize
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const auto handNetInputSize = op::flagsToPoint(FLAGS_hand_net_resolution, "368x368 (multiples of 16)");
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// poseModel
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const auto poseModel = op::flagsToPoseModel(FLAGS_model_pose);
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// JSON saving
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if (!FLAGS_write_keypoint.empty())
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op::log("Flag `write_keypoint` is deprecated and will eventually be removed."
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" Please, use `write_json` instead.", op::Priority::Max);
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// keypointScaleMode
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const auto keypointScaleMode = op::flagsToScaleMode(FLAGS_keypoint_scale);
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// heatmaps to add
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const auto heatMapTypes = op::flagsToHeatMaps(FLAGS_heatmaps_add_parts, FLAGS_heatmaps_add_bkg,
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FLAGS_heatmaps_add_PAFs);
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const auto heatMapScaleMode = op::flagsToHeatMapScaleMode(FLAGS_heatmaps_scale);
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// >1 camera view?
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const auto multipleView = (FLAGS_3d || FLAGS_3d_views > 1);
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// Face and hand detectors
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const auto faceDetector = op::Detector::Provided;
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const auto handDetector = op::flagsToDetector(FLAGS_hand_detector);
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// Enabling Google Logging
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const bool enableGoogleLogging = true;
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// Pose configuration (use WrapperStructPose{} for default and recommended configuration)
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const auto bodyEnable = false;
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const op::WrapperStructPose wrapperStructPose{
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bodyEnable, netInputSize, outputSize, keypointScaleMode, FLAGS_num_gpu, FLAGS_num_gpu_start,
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FLAGS_scale_number, (float)FLAGS_scale_gap, op::flagsToRenderMode(FLAGS_render_pose, multipleView),
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poseModel, !FLAGS_disable_blending, (float)FLAGS_alpha_pose, (float)FLAGS_alpha_heatmap,
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FLAGS_part_to_show, FLAGS_model_folder, heatMapTypes, heatMapScaleMode, FLAGS_part_candidates,
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(float)FLAGS_render_threshold, FLAGS_number_people_max, FLAGS_maximize_positives, FLAGS_fps_max,
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FLAGS_prototxt_path, FLAGS_caffemodel_path, enableGoogleLogging};
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opWrapper.configure(wrapperStructPose);
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// Face configuration (use op::WrapperStructFace{} to disable it)
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const auto face = true;
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const op::WrapperStructFace wrapperStructFace{
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face, faceDetector, faceNetInputSize,
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op::flagsToRenderMode(FLAGS_face_render, multipleView, FLAGS_render_pose),
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(float)FLAGS_face_alpha_pose, (float)FLAGS_face_alpha_heatmap, (float)FLAGS_face_render_threshold};
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opWrapper.configure(wrapperStructFace);
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// Hand configuration (use op::WrapperStructHand{} to disable it)
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const op::WrapperStructHand wrapperStructHand{
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FLAGS_hand, handDetector, handNetInputSize, FLAGS_hand_scale_number, (float)FLAGS_hand_scale_range,
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op::flagsToRenderMode(FLAGS_hand_render, multipleView, FLAGS_render_pose), (float)FLAGS_hand_alpha_pose,
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(float)FLAGS_hand_alpha_heatmap, (float)FLAGS_hand_render_threshold};
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opWrapper.configure(wrapperStructHand);
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// Extra functionality configuration (use op::WrapperStructExtra{} to disable it)
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const op::WrapperStructExtra wrapperStructExtra{
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FLAGS_3d, FLAGS_3d_min_views, FLAGS_identification, FLAGS_tracking, FLAGS_ik_threads};
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opWrapper.configure(wrapperStructExtra);
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// Output (comment or use default argument to disable any output)
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const op::WrapperStructOutput wrapperStructOutput{
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FLAGS_cli_verbose, FLAGS_write_keypoint, op::stringToDataFormat(FLAGS_write_keypoint_format),
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FLAGS_write_json, FLAGS_write_coco_json, FLAGS_write_coco_foot_json, FLAGS_write_coco_json_variant,
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FLAGS_write_images, FLAGS_write_images_format, FLAGS_write_video, FLAGS_write_video_fps,
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FLAGS_write_video_with_audio, FLAGS_write_heatmaps, FLAGS_write_heatmaps_format, FLAGS_write_video_3d,
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FLAGS_write_video_adam, FLAGS_write_bvh, FLAGS_udp_host, FLAGS_udp_port};
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opWrapper.configure(wrapperStructOutput);
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// No GUI. Equivalent to: opWrapper.configure(op::WrapperStructGui{});
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// Set to single-thread (for sequential processing and/or debugging and/or reducing latency)
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if (FLAGS_disable_multi_thread)
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opWrapper.disableMultiThreading();
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}
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catch (const std::exception& e)
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{
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op::error(e.what(), __LINE__, __FUNCTION__, __FILE__);
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}
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}
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int tutorialApiCpp()
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{
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try
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{
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op::log("Starting OpenPose demo...", op::Priority::High);
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const auto opTimer = op::getTimerInit();
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// Configuring OpenPose
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op::log("Configuring OpenPose...", op::Priority::High);
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op::Wrapper opWrapper{op::ThreadManagerMode::Asynchronous};
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configureWrapper(opWrapper);
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// Starting OpenPose
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op::log("Starting thread(s)...", op::Priority::High);
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opWrapper.start();
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// Read image and face rectangle locations
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const auto imageToProcess = cv::imread(FLAGS_image_path);
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const std::vector<op::Rectangle<float>> faceRectangles{
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op::Rectangle<float>{330.119385f, 277.532715f, 48.717274f, 48.717274f}, // Face of person 0
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op::Rectangle<float>{24.036991f, 267.918793f, 65.175171f, 65.175171f}, // Face of person 1
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op::Rectangle<float>{151.803436f, 32.477852f, 108.295761f, 108.295761f} // Face of person 2
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};
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// Create new datum
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auto datumsPtr = std::make_shared<std::vector<std::shared_ptr<op::Datum>>>();
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datumsPtr->emplace_back();
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auto& datumPtr = datumsPtr->at(0);
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datumPtr = std::make_shared<op::Datum>();
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// Fill datum with image and faceRectangles
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datumPtr->cvInputData = imageToProcess;
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datumPtr->faceRectangles = faceRectangles;
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// Process and display image
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opWrapper.emplaceAndPop(datumsPtr);
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if (datumsPtr != nullptr)
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{
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printKeypoints(datumsPtr);
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if (!FLAGS_no_display)
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display(datumsPtr);
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}
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else
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op::log("Image could not be processed.", op::Priority::High);
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// Info
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op::log("NOTE: In addition with the user flags, this demo has auto-selected the following flags:"
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" `--body_disable --face --face_detector 2`", op::Priority::High);
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// Measuring total time
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op::printTime(opTimer, "OpenPose demo successfully finished. Total time: ", " seconds.", op::Priority::High);
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// Return
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return 0;
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}
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catch (const std::exception& e)
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{
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return -1;
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}
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}
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int main(int argc, char *argv[])
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{
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// Parsing command line flags
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gflags::ParseCommandLineFlags(&argc, &argv, true);
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// Running tutorialApiCpp
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return tutorialApiCpp();
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}
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