【官方框架地址】

https://github.com/ViewFaceCore/ViewFaceCore
【算法介紹】

SeetaFace6是由中國科技公司自主研發(fā)的一款人臉識別技術(shù)，它基于深度學(xué)習(xí)算法，能夠快速、準(zhǔn)確地識別出人臉，并且支持多種應(yīng)用場景，如門禁系統(tǒng)、移動支付、安全監(jiān)控等。SeetaFace6的識別準(zhǔn)確率高達99%以上，并且可以在各種復(fù)雜的環(huán)境下進行工作，如不同的光照條件、面部朝向、面部表情等。

SeetaFace6的研發(fā)背景是基于中國科技公司對于人臉識別技術(shù)的長期研究和探索。在過去的幾年中，隨著深度學(xué)習(xí)技術(shù)的不斷發(fā)展，人臉識別技術(shù)也取得了長足的進步。然而，由于人臉識別的技術(shù)難度較大，很多算法和模型都存在著準(zhǔn)確率不高、容易受到環(huán)境影響等問題。因此，開發(fā)一種高效、穩(wěn)定的人臉識別技術(shù)一直是人工智能領(lǐng)域的熱門話題。

SeetaFace6的設(shè)計原理是通過深度學(xué)習(xí)算法對大量的人臉數(shù)據(jù)進行訓(xùn)練，從而得到一個能夠自動識別出人臉的模型。這個模型可以自動提取出人臉的特征，并且與數(shù)據(jù)庫中的數(shù)據(jù)進行比對，最終得到識別結(jié)果。SeetaFace6采用了多種技術(shù)手段來提高識別準(zhǔn)確率和穩(wěn)定性，如使用卷積神經(jīng)網(wǎng)絡(luò)進行特征提取、使用數(shù)據(jù)增強技術(shù)增加訓(xùn)練數(shù)據(jù)量、使用遷移學(xué)習(xí)等技術(shù)來優(yōu)化模型等。

SeetaFace6的應(yīng)用場景非常廣泛。在門禁系統(tǒng)方面，它可以用于企業(yè)的安全防范、學(xué)校的校園安全、小區(qū)的住宅管理等場景，通過人臉識別技術(shù)來控制人員的進出和訪問權(quán)限。在移動支付方面，它可以用于手機銀行、第三方支付等場景，通過人臉識別技術(shù)來完成身份驗證和支付操作。在安全監(jiān)控方面，它可以用于公共場所的安全監(jiān)控、交通監(jiān)控等場景，通過人臉識別技術(shù)來追蹤嫌疑人的行蹤和身份。

除了以上應(yīng)用場景外，SeetaFace6還可以應(yīng)用于人臉美顏、人臉表情識別、人臉合成等領(lǐng)域。例如，在人臉美顏方面，它可以自動識別出人的面部特征和表情，并且根據(jù)不同的場景和需求進行美顏處理，讓人像更加美麗動人。在人臉表情識別方面，它可以自動識別出人的面部表情和情感狀態(tài)，并且根據(jù)不同的情感狀態(tài)進行相應(yīng)的處理和反饋。在人臉合成方面，它可以自動生成與目標(biāo)人物相似的虛擬人臉圖像，并且可以應(yīng)用于虛擬現(xiàn)實、游戲開發(fā)等領(lǐng)域。

總之，SeetaFace6是一款高效、穩(wěn)定的人臉識別技術(shù)，具有廣泛的應(yīng)用前景和市場前景。它的出現(xiàn)將為人臉識別技術(shù)的發(fā)展和應(yīng)用帶來新的機遇和挑戰(zhàn)。未來，隨著人工智能技術(shù)的不斷發(fā)展，我們相信SeetaFace6將會在更多的領(lǐng)域得到應(yīng)用和發(fā)展，并且將不斷推動人臉識別技術(shù)的創(chuàng)新和進步。

【效果展示】

人臉檢測

年齡預(yù)測?

口罩檢測?

性別判斷?

眼睛狀態(tài)判斷?

活體檢測(局部)?

【官方部分代碼】

注意以下是官方實例，不是我示范代碼

using SkiaSharp;
using System;
using System.Diagnostics;
using System.Linq;
using System.Numerics;
using ViewFaceCore.Configs;
using ViewFaceCore.Core;
using ViewFaceCore.Extensions;
using ViewFaceCore.Model;

namespace ViewFaceCore.Example.ConsoleApp
{
    internal class Program
    {
        private readonly static string imagePath0 = @"images/Jay_3.jpg";
        private readonly static string imagePath1 = @"images/Jay_4.jpg";
        private readonly static string maskImagePath = @"images/mask_01.jpeg";

        static void Main(string[] args)
        {
            Console.WriteLine("Hello, ViewFaceCore!\n");

            //人臉識別Demo
            FaceDetectorDemo();

            //關(guān)鍵點標(biāo)記
            FaceMarkDemo();

            //戴口罩識別Demo
            MaskDetectorDemo();

            //質(zhì)量檢測Demo
            FaceQualityDemo();

            //活體檢測Demo
            AntiSpoofingDemo();

            //提取并對比特征值
            FaceRecognizerDemo();

            Console.ReadKey();
        }

        static void FaceDetectorDemo()
        {
            using var bitmap = SKBitmap.Decode(imagePath0);
            using FaceDetector faceDetector = new FaceDetector();
            FaceInfo[] infos = faceDetector.Detect(bitmap);
            Console.WriteLine($"識別到的人臉數(shù)量：{infos.Length} 個人臉信息：\n");
            Console.WriteLine($"No.\t人臉置信度\t位置信息");
            for (int i = 0; i < infos.Length; i++)
            {
                Console.WriteLine($"{i}\t{infos[i].Score:f8}\t{infos[i].Location}");
            }
            Console.WriteLine();
        }

        static void MaskDetectorDemo()
        {
            using var bitmap0 = SKBitmap.Decode(imagePath0);
            using var bitmap_mask = SKBitmap.Decode(maskImagePath);

            using MaskDetector maskDetector = new MaskDetector();
            using FaceDetector faceDetector = new FaceDetector();
            //FaceType需要用口罩模型
            using FaceRecognizer faceRecognizer = new FaceRecognizer(new FaceRecognizeConfig()
            {
                FaceType = FaceType.Mask
            });
            using FaceLandmarker faceMark = new FaceLandmarker();

            var info0 = faceDetector.Detect(bitmap0).First();
            var result0 = maskDetector.PlotMask(bitmap0, info0);
            Console.WriteLine($"是否戴口罩：{(result0.Status ? "是" : "否")}，置信度：{result0.Score}");

            var info1 = faceDetector.Detect(bitmap_mask).First();
            var result1 = maskDetector.PlotMask(bitmap_mask, info1);
            Console.WriteLine($"是否戴口罩：{(result1.Status ? "是" : "否")}，置信度：{result1.Score}");

            var result = faceRecognizer.Extract(bitmap_mask, faceMark.Mark(bitmap_mask, info1));
            Console.WriteLine($"是否識別到人臉：{(result != null && result.Sum() > 1 ? "是" : "否")}");
            Console.WriteLine();
        }

        static void FaceMarkDemo()
        {
            using var bitmap0 = SKBitmap.Decode(imagePath0);
            using var faceImage = bitmap0.ToFaceImage();
            using FaceDetector faceDetector = new FaceDetector();
            using FaceLandmarker faceMark = new FaceLandmarker();
            Stopwatch sw = new Stopwatch();

            var infos = faceDetector.Detect(faceImage);
            var markPoints = faceMark.Mark(faceImage, infos[0]);

            sw.Stop();
            Console.WriteLine($"識別到的關(guān)鍵點個數(shù)：{markPoints.Length}，耗時：{sw.ElapsedMilliseconds}ms");
            foreach (var item in markPoints)
            {
                Console.WriteLine($"X:{item.X}\tY:{item.Y}");
            }
            Console.WriteLine();
        }

        static void FaceQualityDemo()
        {
            using var bitmap = SKBitmap.Decode(imagePath0);
            using FaceQuality faceQuality = new FaceQuality();
            using FaceDetector faceDetector = new FaceDetector();
            using FaceLandmarker faceMark = new FaceLandmarker();

            var info = faceDetector.Detect(bitmap).First();
            var markPoints = faceMark.Mark(bitmap, info);

            Stopwatch sw = Stopwatch.StartNew();

            var brightnessResult = faceQuality.Detect(bitmap, info, markPoints, QualityType.Brightness);
            Console.WriteLine($"{QualityType.Brightness}評估，結(jié)果：{brightnessResult}，耗時：{sw.ElapsedMilliseconds}ms");
            sw.Restart();
            var resolutionResult = faceQuality.Detect(bitmap, info, markPoints, QualityType.Resolution);
            Console.WriteLine($"{QualityType.Resolution}評估，結(jié)果：{resolutionResult}，耗時：{sw.ElapsedMilliseconds}ms");
            sw.Restart();
            var clarityResult = faceQuality.Detect(bitmap, info, markPoints, QualityType.Clarity);
            Console.WriteLine($"{QualityType.Clarity}評估，結(jié)果：{clarityResult}，耗時：{sw.ElapsedMilliseconds}ms");
            sw.Restart();
            var clarityExResult = faceQuality.Detect(bitmap, info, markPoints, QualityType.ClarityEx);
            Console.WriteLine($"{QualityType.ClarityEx}評估，結(jié)果：{clarityExResult}，耗時：{sw.ElapsedMilliseconds}ms");
            sw.Restart();
            var integrityExResult = faceQuality.Detect(bitmap, info, markPoints, QualityType.Integrity);
            Console.WriteLine($"{QualityType.Integrity}評估，結(jié)果：{integrityExResult}，耗時：{sw.ElapsedMilliseconds}ms");
            sw.Restart();
            var structureeResult = faceQuality.Detect(bitmap, info, markPoints, QualityType.Structure);
            Console.WriteLine($"{QualityType.Structure}評估，結(jié)果：{structureeResult}，耗時：{sw.ElapsedMilliseconds}ms");
            sw.Restart();
            var poseResult = faceQuality.Detect(bitmap, info, markPoints, QualityType.Pose);
            Console.WriteLine($"{QualityType.Pose}評估，結(jié)果：{poseResult}，耗時：{sw.ElapsedMilliseconds}ms");
            sw.Restart();
            var poseExeResult = faceQuality.Detect(bitmap, info, markPoints, QualityType.PoseEx);
            Console.WriteLine($"{QualityType.PoseEx}評估，結(jié)果：{poseExeResult}，耗時：{sw.ElapsedMilliseconds}ms");

            sw.Stop();
            Console.WriteLine();
        }

        static void AntiSpoofingDemo()
        {
            using var bitmap = SKBitmap.Decode(imagePath0);

            using FaceDetector faceDetector = new FaceDetector();
            using FaceLandmarker faceMark = new FaceLandmarker();
            using FaceAntiSpoofing faceAntiSpoofing = new FaceAntiSpoofing();

            var info = faceDetector.Detect(bitmap).First();
            var markPoints = faceMark.Mark(bitmap, info);

            Stopwatch sw = Stopwatch.StartNew();
            sw.Start();

            var result = faceAntiSpoofing.AntiSpoofing(bitmap, info, markPoints);
            Console.WriteLine($"活體檢測，結(jié)果：{result.Status}，清晰度:{result.Clarity}，真實度：{result.Reality}，耗時：{sw.ElapsedMilliseconds}ms");

            sw.Stop();
            Console.WriteLine();
        }

        static void FaceRecognizerDemo()
        {
            Stopwatch sw = Stopwatch.StartNew();

            using var faceImage0 = SKBitmap.Decode(imagePath0).ToFaceImage();
            using var faceImage1 = SKBitmap.Decode(imagePath1).ToFaceImage();
            //檢測人臉信息
            using FaceDetector faceDetector = new FaceDetector();
            FaceInfo[] infos0 = faceDetector.Detect(faceImage0);
            FaceInfo[] infos1 = faceDetector.Detect(faceImage1);
            //標(biāo)記人臉位置
            using FaceLandmarker faceMark = new FaceLandmarker();
            FaceMarkPoint[] points0 = faceMark.Mark(faceImage0, infos0[0]);
            FaceMarkPoint[] points1 = faceMark.Mark(faceImage1, infos1[0]);
            //提取特征值
            using FaceRecognizer faceRecognizer = new FaceRecognizer();
            float[] data0 = faceRecognizer.Extract(faceImage0, points0);
            float[] data1 = faceRecognizer.Extract(faceImage1, points1);
            //對比特征值
            bool isSelf = faceRecognizer.IsSelf(data0, data1);

            Console.WriteLine($"識別到的人臉是否為同一人：{isSelf}，對比耗時：{sw.ElapsedMilliseconds}ms");
            Console.WriteLine();
            sw.Stop();
        }

        static void FaceTrackDemo()
        {
            using var faceImage = SKBitmap.Decode(imagePath0).ToFaceImage();
            using FaceLandmarker faceMark = new FaceLandmarker();
            using FaceTracker faceTrack = new FaceTracker(new FaceTrackerConfig(faceImage.Width, faceImage.Height));
            var result = faceTrack.Track(faceImage);
            if (result == null || !result.Any())
            {
                Console.WriteLine("未追蹤到任何人臉！");
                return;
            }
            foreach (var item in result)
            {
                FaceInfo faceInfo = item.ToFaceInfo();
                //標(biāo)記人臉
                var points = faceMark.Mark(faceImage, faceInfo);
            }
        }
    }
}

【視頻演示】

https://www.bilibili.com/video/BV1eK411x7wo/
【示范源碼下載】

https://download.csdn.net/download/FL1623863129/88713155
【測試環(huán)境】

vs2019

netframework4.7.2或者netframework4.8

ViewFaceCore文章來源地址http://www.zghlxwxcb.cn/news/detail-810434.html

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