#include "sfe_toolkit/sfe_core.h"
#include "sfe_toolkit/sfe_face.h"
#include <regex>
#include <vector>
#include "solvers.h"
#include "utils.hpp"
#include <unordered_map>

Functions
void	getRecommendedImageSize (const std::string &solver_face_detect, SFEImage &image, const size_t face_size_min, const size_t face_size_max, size_t &recommended_width, size_t &recommended_height)
	Get recommended image size for face detection.

SFEFaceTemplate	extractTemplate (std::string image_path, SFESolver &detector_solver, SFESolver &landmarks_solver, SFESolver &template_solver)

void	printHelp ()

int	main (int argc, char *argv[])

Variables
std::string	gallery = "./assets/face/entities/"

std::string	image_probe = "assets/face/images/obiwan0.png"

std::string	solver_face_detect = SOLVER_FACE_DETECT
	Solvers to use in example, the defaults are filled in by CMake.

std::string	solver_face_landmarks = SOLVER_FACE_LANDMARKS

std::string	solver_face_template = SOLVER_FACE_EXTRACTION

const auto	SOLVER_PARAMETERS = std::vector<SFESolverParameter>{}

size_t	face_size_min = 28
	Required size of the face to be detected.

size_t	face_size_max = 170

float	detection_threshold = 0.1f

float	identification_threshold = 0.6f

Function Documentation

◆ extractTemplate()

SFEFaceTemplate extractTemplate	(	std::string	image_path,
		SFESolver &	detector_solver,
		SFESolver &	landmarks_solver,
		SFESolver &	template_solver
	)

Examples: example_face_identify_entity.cpp.

Definition at line 74 of file example_face_identify_entity.cpp.

                                                             {
 
  SFEImage image{};
  DEFER(sfeImageFree(image));
  SFEImage resized_image{};
  DEFER(sfeImageFree(resized_image));
  SFEError error{};
  { // STAGE 1 Load image
    // Load image data from file
    auto image_data = utils::readFile(image_path);
 
    // Decode image from data
    error = sfeImageDecode(image_data.data(), image_data.size(), &image);
    utils::checkError(error);
 
    size_t recommended_width{};
    size_t recommended_height{};
 
    // Calculate optimal input image size for face detection. Image will be
    // resized to recommended size for optimal performance.
    getRecommendedImageSize(solver_face_detect, image, face_size_min,
                            face_size_max, recommended_width,
                            recommended_height);
 
    // Resize image to recommended size
    // NOTE: This function will resize the image without preserving the aspect
    // ratio of the image.
 
    error = sfeImageResize(image, recommended_width, recommended_height,
                           &resized_image);
    utils::checkError(error);
  }
 
  SFEDetection detected_face = {};
  size_t detection_count = 1;
  { // STAGE 3: Detect face in the image
 
    // Detect face in the image
    error = sfeDetect(detector_solver, resized_image, detection_threshold,
                          &detected_face, &detection_count);
    utils::checkError(error);
 
    if (detection_count == 0) {
      throw std::runtime_error("No face detected in the image.");
    }
  }
 
  std::vector<SFEFaceLandmarks> landmarks(SFE_FACE_LANDMARK_COUNT);
  { // STAGE 4: Get face landmarks
 
    // Use landmarks detection solver to get relevant landmarks for
    // the detected face
    error = sfeFaceLandmarks(landmarks_solver, image, &detected_face,
                             landmarks.data());
    utils::checkError(error);
  }
 
  SFEFaceTemplate face_template = {};
  { // STAGE 5: Extract probe face template
    // Use template extraction solver to create new face
    // template
    error =
        sfeFaceTemplateExtract(template_solver, image, &detected_face,
                               landmarks.data(), &face_template);
    utils::checkError(error);
  }
  return face_template;
}

◆ getRecommendedImageSize()

void getRecommendedImageSize	(	const std::string &	solver_face_detect,
		SFEImage &	image,
		const size_t	face_size_min,
		const size_t	face_size_max,
		size_t &	recommended_width,
		size_t &	recommended_height
	)

Get recommended image size for face detection.

Parameters

solver_face_detect	name of the face detection solver
face_size_min	Desired minimal size of detected face
face_size_max	Desired maximal size of detected face
recommended_width	Recommended image width
recommended_height	Recommended image height

Definition at line 39 of file example_face_identify_entity.cpp.

                                                         {
 
  // If the face detection solver requires static input (filename contains width and height),
  // we need to prepare the input image accordingly Typically the format is:
  // face_detect_accurate_mask_w1920h1080_op11.onnxrt.solver
  // NOTE: This can
  // be hardcoded into the application, or we can parse the width and height
  // from the solver filename
 
  // Try to use regex capture to extract width and height from solver name
  std::smatch width_height;
  if (std::regex_match(solver_face_detect, width_height,
                       std::regex(".*w([0-9]+)h([0-9]+).*"))) {
    recommended_width = std::stoi(width_height[1]);
    recommended_height = std::stoi(width_height[2]);
  } else {
    // Solvers without width and height in name can accept dynamic input
    // image size. For best results we recommend to scale the input image to
    // a resolution recommended by the sfeFaceDetectInputSize function 
 
    // Use sfeFaceDetectInputSize to get recommended input image dimensions
    // for given min_face_size/max_face_size
    SFEDetectionInputSize input_size{};
    SFEError error = sfeFaceDetectInputSize(image, SFEFaceDetectionAccuracyType::SFE_FACE_DETECT_ACCURACY_TYPE_ACCURATE, face_size_min,
                                            face_size_max, &input_size);
    utils::checkError(error);
    recommended_width = input_size.width;
    recommended_height = input_size.height;
  };
}

◆ main()

int main	(	int	argc,
		char *	argv[]
	)

[Face Entity Identify]

Definition at line 161 of file example_face_identify_entity.cpp.

                                 {
 
  { // STAGE 0: Parse command line arguments
 
    // Map to store argument values
    std::unordered_map<std::string, std::string> args;
 
    // Parse command line arguments
    for (int i = 1; i < argc; ++i) {
      std::string arg = argv[i];
      if (arg[0] == '-') {
        if (arg == "-h") {
          printHelp();
          return 0;
        }
        // Check if there's a next argument and it isn't another option
        if (i + 1 < argc && argv[i + 1][0] != '-') {
          args[arg] = argv[++i];
        } else {
          std::cerr << "Option " << arg << " requires a value." << std::endl;
          return 1;
        }
      } else {
        std::cerr << "Unknown option: " << arg << std::endl;
        return 1;
      }
    }
 
    // Assign values to variables based on parsed arguments
    if (args.count("-p"))
      image_probe = args["-p"];
    if (args.count("-g"))
      gallery = args["-g"];
    if (args.count("-d"))
      solver_face_detect = args["-d"];
    if (args.count("-l"))
      solver_face_landmarks = args["-l"];
    if (args.count("-e"))
      solver_face_template = args["-e"];
    if (args.count("-t"))
      detection_threshold = std::stof(args["-t"]);
    if (args.count("-i"))
      identification_threshold = std::stof(args["-i"]);
    if (args.count("-m"))
      face_size_min = std::stoi(args["-m"]);
    if (args.count("-x"))
      face_size_max = std::stoi(args["-x"]);
 
    utils::printFormatted("EXAMPLE PARAMETERS");
    // Print resource names
    std::cout << "Probe image: " << image_probe << std::endl;
    std::cout << "Entities folder: " << gallery << std::endl;
 
    // Print solver names
    std::cout << "Face detection solver: " << solver_face_detect << std::endl;
    std::cout << "Face landmarks solver: " << solver_face_landmarks
              << std::endl;
    std::cout << "Face template solver: " << solver_face_template << std::endl;
 
    // Print other options
    std::cout << "Min face size [px]: " << face_size_min << std::endl;
    std::cout << "Max face size [px]: " << face_size_max << std::endl;
    std::cout << "Detection threshold: " << detection_threshold << std::endl;
    std::cout << "Identification threshold: " << identification_threshold
              << std::endl;
  }
 
  utils::printToolkitInfo();
 
  SFEError error{};
 
  SFESolver detector_solver{};
  DEFER(sfeSolverFree(detector_solver));
  SFESolver landmarks_solver{};
  DEFER(sfeSolverFree(landmarks_solver));
  SFESolver template_solver{};
  DEFER(sfeSolverFree(template_solver));
  { // STAGE 0: loading solvers
    // Initialize face detection solver
    error = sfeSolverCreate(
        solver_face_detect.c_str(), SOLVER_PARAMETERS.data(),
        SOLVER_PARAMETERS.size(), &detector_solver);
    utils::checkError(error);
 
    // Initialize landmarks detection solver
    error = sfeSolverCreate(
        solver_face_landmarks.c_str(), SOLVER_PARAMETERS.data(),
        SOLVER_PARAMETERS.size(), &landmarks_solver);
    utils::checkError(error);
 
    // Initialize template extraction solver
    error = sfeSolverCreate(
        solver_face_template.c_str(), SOLVER_PARAMETERS.data(),
        SOLVER_PARAMETERS.size(), &template_solver);
    utils::checkError(error);
  }
 
  SFEFaceTemplate probe_face_template;
  { // STAGE 1: Extract probe face template
    utils::printFormatted("PROBE TEMPLATE EXTRACTION");
    probe_face_template = extractTemplate(image_probe, detector_solver,
                                           landmarks_solver, template_solver);
 
    std::cout << "Probe face template extracted." << std::endl;
  }
 
  std::vector<SFEFaceTemplate> gallery_face_templates = {};
  std::vector<SFEEntity> enitity_pairs = {};
  { // STAGE 2: Extract templates for each image in entity folder and associate them
    // with entity(UUID)
 
    // Entities(UUID) tells the ownership of the templates in the gallery.
    // For example:
    // UUID1 -> template1
    // UUID1 -> template2
    // UUID2 -> template3
    // UUID2 -> template4
    // ...
    // UUUIDN -> templateN
 
    utils::printFormatted("ENTITIES TEMPLATE EXTRACTION");
 
    // Get folder names from entities_gallery
    auto folder_names = utils::getFiles(gallery);
 
    for (auto folder_name : folder_names) {
      if (folder_name.find(".jpg") != std::string::npos ||
          folder_name.find(".png") != std::string::npos) {
        continue;
      }
 
      // Genereate UUID for each entity.
      auto entity = utils::generateEntity();
 
      auto entity_folder = gallery + folder_name + "/";
 
      std::cout << "Folder: " << entity_folder << ", entity UUID: ["
                << static_cast<int>(entity.uuid[0]) << ", "
                << static_cast<int>(entity.uuid[1]) << "..."
                << static_cast<int>(entity.uuid[15]) << "]" << std::endl;
 
      // Get image names from folder
      auto image_names = utils::getFiles(entity_folder);
 
      // Extract template for each image in the folder
      for (auto image_name : image_names) {
 
        auto image_path = entity_folder + image_name;
 
        auto face_template = extractTemplate(
            image_path, detector_solver, landmarks_solver, template_solver);
 
        gallery_face_templates.push_back(face_template);
        enitity_pairs.push_back(entity);
      }
    }
  }
 
  size_t candidate_count = 1;
  std::vector<SFEEntityIdentificationCandidate> results(candidate_count);
  int best_candidate_index = -1;
  { // STAGE 3: Identification with entities.
    // Probe template is matched against every template in the gallery.
    // Function returns entity(UUID) which owns the best matching template.
 
    utils::printFormatted("1:N IDENTIFICATION WITH ENTITIES");
    SFEError error = sfeFaceEntityIdentify(
        &probe_face_template, gallery_face_templates.data(),
        enitity_pairs.data(), gallery_face_templates.size(),
        identification_threshold, results.data(), &candidate_count, 4);
    utils::checkError(error);
 
    if (candidate_count == 0) {
      std::cout << "No candidates found. Exiting.." << std::endl;
      return 0;
    }
 
    std::cout << std::endl;
    std::cout << "Found " << results.size() << " candidates " << std::endl;
    for (int i = 0; i < results.size(); i++) {
      std::cout << "Index: " << i << ", Score: " << results[i].score
                << std::endl;
      std::cout << "Entity UUID: ["
                << static_cast<int>(results[i].entity.uuid[0]) << ", "
                << static_cast<int>(results[i].entity.uuid[1]) << "..."
                << static_cast<int>(results[i].entity.uuid[15]) << "]"
                << std::endl;
    }
  }
 
  utils::printFormatted("FINISHED");
}

◆ printHelp()

void printHelp ( )

Definition at line 146 of file example_face_identify_entity.cpp.

                 {
  std::cout << "Help: Usage of the program." << std::endl;
  std::cout << "Options:" << std::endl;
  std::cout << "-h: Display help." << std::endl;
  std::cout << "-p: Probe image file." << std::endl;
  std::cout << "-g: Path to folder with entities." << std::endl;
  std::cout << "-d: Path to detector solver." << std::endl;
  std::cout << "-l: Path to landmarks solver." << std::endl;
  std::cout << "-e: Path to extraction solver." << std::endl;
  std::cout << "-t: Detection threshold. <0,1>" << std::endl;
  std::cout << "-i: Identification threshold. <0,1>" << std::endl;
  std::cout << "-m: Minimal face size in pixels to detect." << std::endl;
  std::cout << "-x: Max face size in pixels to detect." << std::endl;
}