# Face Verification Library

#include "faceverifier.h"

#include <opencv2/core.hpp>
#include <opencv2/imgcodec.hpp>

#include <iostream>

int main()
{
   fvl::FaceVerifier verifier("model/model.realZ");

   cv::Mat image1 = cv::imread("image1.jpg");
   cv::Mat image2 = cv::imread("image2.jpg");

   std::vector<fvl::Face> faces1 = verifier.detectFaces({image1.ptr(), image1.cols, image1.rows, static_cast<int>(image1.step1()), fvl::ImageFormat::BGR}).get();
   std::vector<fvl::Face> faces2 = verifier.detectFaces({image2.ptr(), image2.cols, image2.rows, static_cast<int>(image2.step1()), fvl::ImageFormat::BGR}).get();

   std::vector<std::vector<float>> embeddings1, embeddings2;
   for (const Face& face: faces1)
       embeddings1.push_back(verifier.embedFace(face).get());
   for (const Face& face: faces2)
       embeddings2.push_back(verifier.embedFace(face).get());

   for (size_t i = 0; i < embeddings1.size(); ++i)
       for (size_t j = 0; j < embeddings2.size(); ++j)
           if (verifier.compare_faces(embeddings1[i], embeddings2[j]).similarity > 0.3) {
               fvl::BoundingBox bbox1 = faces1[i].bounding_box();
               fvl::BoundingBox bbox2 = faces2[j].bounding_box();
               std::cout << "(" << bbox1.x << ", " << bbox1.y << ", " << bbox1.width << ", " << bbox1.height << ") from image 1 and";
               std::cout << "(" << bbox2.x << ", " << bbox2.y << ", " << bbox2.width << ", " << bbox2.height << ") from image 2 are the same people";
               std::cout << std::endl;
           }

   return 0;
}

import realeyes.face_verification as fvl
import cv2

verifier = fvl.FaceVerifier('model/model.realZ')

image1 = cv2.imread('image1.jpg')[:, :, ::-1]  # opencv reads BGR we need RGB
image2 = cv2.imread('image2.jpg')[:, :, ::-1]  # opencv reads BGR we need RGB

faces1 = verifier.detect_faces(image1)
faces2 = verifier.detect_faces(image2)

embeddings1 = [verifier.embed_face(face) for face in faces1]
embeddings2 = [verifier.embed_face(face) for face in faces2]

for i, e1 in enumerate(embeddings1):
    for j, e2 in enumerate(embeddings2):
        if verifier.compare_faces(e1, e2).similarity > 0.3:
            print(f'{faces1[i]} from image 1 and {faces2[j]} from image 2 are the same person!')

using Realeyes.FaceVerification;
using OpenCvSharp;

using var verifier = new FaceVerifier("model/model.realZ");

using var image1 = Cv2.ImRead("image1.jpg");
using var image2 = Cv2.ImRead("image2.jpg");

// Convert OpenCV Mat to byte array
var imageData1 = image1.ToBytes();
var imageData2 = image2.ToBytes();

var header1 = new ImageHeader(imageData1, image1.Width, image1.Height,
    image1.Width * image1.Channels(), ImageFormat.BGR);
var header2 = new ImageHeader(imageData2, image2.Width, image2.Height,
    image2.Width * image2.Channels(), ImageFormat.BGR);

// Detect faces in parallel
var detectTask1 = verifier.DetectFacesAsync(header1);
var detectTask2 = verifier.DetectFacesAsync(header2);

using var faces1 = await detectTask1;
using var faces2 = await detectTask2;

// Embed all faces in parallel
var embeddingTasks = new List<Task<float[]>>();
foreach (var face in faces1)
    embeddingTasks.Add(verifier.EmbedFaceAsync(face));
foreach (var face in faces2)
    embeddingTasks.Add(verifier.EmbedFaceAsync(face));

var allEmbeddings = await Task.WhenAll(embeddingTasks);

var embeddings1 = allEmbeddings.Take(faces1.Count).ToArray();
var embeddings2 = allEmbeddings.Skip(faces1.Count).ToArray();

// Compare embeddings
for (int i = 0; i < embeddings1.Length; i++)
{
    for (int j = 0; j < embeddings2.Length; j++)
    {
        var match = verifier.CompareFaces(embeddings1[i], embeddings2[j]);
        if (match.Similarity > 0.3f)
        {
            var bbox1 = faces1[i].BoundingBox;
            var bbox2 = faces2[j].BoundingBox;
            Console.WriteLine($"({bbox1.X}, {bbox1.Y}, {bbox1.Width}, {bbox1.Height}) from image 1 and " +
                              $"({bbox2.X}, {bbox2.Y}, {bbox2.Width}, {bbox2.Height}) from image 2 are the same person!");
        }
    }
}