百度人脸识别Windows C++离线sdk C#接入

百度人脸识别Windows C++离线sdk C#接入

目录

说明

设计背景

[• 场景特点:](#• 场景特点:)

[• 客户特点:](#• 客户特点:)

[• 核心需求:](#• 核心需求:)

[SDK 包结构](#SDK 包结构)

效果

代码


说明

自己根据SDK封装了动态库,然后C#调用。

功能接口

设计背景

• 场景特点:

-- 网络:对于无网、局域网等情况,无法连接公网,API 方式无法运作。如政府单

位、金融保险、教育机构等,其中内网情况最为常见,私有化部署是项目开展的前提

条件。

-- 安全:即使可以连接外网,因为人脸数据的敏感性,许多客户不希望将人脸数据传

入百度服务器,如大学学生照片、部分企业员工数据等,API 形式也往往不被接受。

-- 速度:由于各地网络线路、机房部署、图片采集方式等诸多原因,API 形式往往耗

时较高,容易存在部分请求耗时过长的情况,容易影响业务正常运转。

-- 稳定:API 形式容易受网络抖动、机房故障、线上连带 bug 等影响,存在一定的不

稳定因素,可用性保障,往往成为在线调用最容易出现问题的地方。

• 客户特点:

-- 1:N-小型人脸库检索:多为通道通行、固定区域人群验证等需求,如写字楼闸机

门禁、企业考勤打卡等,人脸库范围较小,且不易经常变动。

-- 1:1-自有数据源对比:将当前采集的人脸,与其他数据源中的人脸进行对比,如

身份证芯片照、教务系统图片、档案图片等,进行快速的 1:1 对比验证。

• 核心需求:

-- 基础的人脸采集:包含人脸检测、跟踪、捕获、质量校验等基础功能,获取符合识

别条件的人脸。为之前的客户端 SDK 的标准功能,离线版本 SDK 保留以上所有能

力。

-- 本地特征抽取:所有在 SDK 中运行的人脸图片,都可以完成本地特征抽取,以便

进行对比或识别操作。

-- 1:1 对比:支持两张图片的相似度对比,可直接传入图片,也可调用本地某个人

脸特征;

-- 1:N 搜索:支持一定库大小的人脸查找,在指定的人脸集合中查找最相似的人

脸,并返回相似度分值;

SDK 包结构

效果

代码

头文件

#pragma once

#include "targetver.h"

#define WIN32_LEAN_AND_MEAN             // 从 Windows 头中排除极少使用的资料
// Windows 头文件: 
#include <windows.h>
#include "baidu_face_api.h"
#include <iostream>
#include <opencv2/opencv.hpp>

using namespace std;
using namespace cv;

//创建实例
extern "C" _declspec(dllexport) void* __cdecl create();

//实例初始化
extern "C" _declspec(dllexport) int __cdecl init(void* engine, char* model_path, char* code);

//人脸检测
extern "C" _declspec(dllexport) int __cdecl face_detect(void* engine, Mat* image, char* json_result);

// 通过图片人脸特征值提取
extern "C" _declspec(dllexport) int __cdecl face_feature(void* engine, Mat* image, char* json_result);

// 人脸比对(通过传图片)
extern "C" _declspec(dllexport) float __cdecl face_match_by_img(void* engine, Mat* image, Mat* image2);

源文件

#include "stdafx.h"

BaiduFaceApi *api;

//创建实例
void* __cdecl create() {

   api = new BaiduFaceApi();

   // 获取设备指纹
   std::string device_id;
   api->get_device_id(device_id);
   std::cout << "device id is:" << device_id << std::endl;

   // 获取sdk版本号
   std::string version;
   api->sdk_version(version);
   std::cout << "sdk version:" << version << std::endl;

   return api;
}

//实例初始化
int __cdecl init(void* engine, char* model_path, char* code) {

	BaiduFaceApi* _api = (BaiduFaceApi*)engine;
	return (int)_api->sdk_init(model_path);

}

//人脸检测
int __cdecl face_detect(void* engine, Mat* image, char* json_result) {

	BaiduFaceApi* _api = (BaiduFaceApi*)engine;

	std::vector<FaceBox> box_list;
	// type 0: 表示rgb 人脸检测 1:表示nir人脸检测
	int type = 0;
	int face_num = 0;

	face_num = _api->detect(box_list, image, 0);

	std::cout << "-----face_num  is-------" << face_num << std::endl;

	std::string res_str("");

	if (face_num > 0)
	{
		for (int i = 0; i < face_num; i++)
		{
			FaceBox info = box_list.at(i);
			// 人脸置信度
			std::cout << "detect score is:" << info.score << std::endl;
			// 人脸宽度
			std::cout << "detect mWidth is:" << info.width << std::endl;
			// 中心点X,Y坐标
			std::cout << "detect mCenter_x is:" << info.center_x << std::endl;
			std::cout << "detect mCenter_y is:" << info.center_y << std::endl;

			std::string str = ("{\"center_x\":\"") + std::to_string(info.center_x) + ("\",") +
				"\"center_y\":\"" + std::to_string(info.center_y) + ("\",") +
				"\"width\":\"" + std::to_string(info.width) + ("\",") +
				"\"height\":\"" + std::to_string(info.height) + ("\",") +
				"\"score\":\"" + std::to_string(info.score) + "\"}";

			res_str = res_str + str.c_str();
			res_str += ",";
		}
	}

	if (res_str.length()>0)
	{
		res_str.erase(res_str.length() - 1);
	}
	res_str = "[" + res_str + "]";

	strcpy(json_result, res_str.c_str());

	return face_num;

}

// 通过图片人脸特征值提取
int __cdecl face_feature(void* engine, Mat* image, char* json_result) {

	BaiduFaceApi* _api = (BaiduFaceApi*)engine;

	std::vector<Feature> out_fea1;
	std::vector<FaceBox> out_box1;
	// 提取第一个人的特征值
	// 特征值的type:传 0 可见光生活照特征值, 1、表示近红外特征值
	int type = 0;
	int face_num = 0;
	face_num = _api->face_feature(out_fea1, out_box1, image, type);
	std::cout << "face num is:" << face_num << std::endl;
	int size = out_fea1.size();

	std::string res_str("");

	for (int i = 0; i < size; i++) {
		Feature feature = out_fea1.at(i);
		FaceBox info = out_box1.at(i);

		std::string str_feature = "";
		for (size_t i = 0; i < feature.size; i++)
		{
			str_feature = str_feature + std::to_string(feature.data[i])+" ";
		}

		if (str_feature.length()>0)
		{
			str_feature.erase(str_feature.length() - 1);
		}

		std::string str = ("{\"center_x\":\"") + std::to_string(info.center_x) + ("\",") +
			"\"center_y\":\"" + std::to_string(info.center_y) + ("\",") +
			"\"width\":\"" + std::to_string(info.width) + ("\",") +
			"\"height\":\"" + std::to_string(info.height) + ("\",") +
			"\"score\":\"" + std::to_string(info.score) + "\","+
			"\"feature\":\"" + str_feature + "\"" +
		    "}";

		res_str = res_str + str.c_str();
		res_str += ",";

	}

	if (res_str.length()>0)
	{
		res_str.erase(res_str.length() - 1);
	}
	res_str = "[" + res_str + "]";

	strcpy(json_result, res_str.c_str());

	return face_num;
}

// 人脸比对(通过传图片)
float __cdecl face_match_by_img(void* engine, Mat* image, Mat* image2) {

	BaiduFaceApi* _api = (BaiduFaceApi*)engine;
	// type 0: 表示rgb 人脸特征值 1:表示nir人脸特征值
	int type = 0;
	float score = _api->match(*image, *image2, type);
	std::cout << "face match score is:" << score << std::endl;
	return score;
}

调用代码

using FaceService.Common;

using Newtonsoft.Json;

using OpenCvSharp;

using System;

using System.Collections.Generic;

using System.ComponentModel;

using System.Data;

using System.Drawing;

using System.Linq;

using System.Security.Cryptography;

using System.Text;

using System.Threading.Tasks;

using System.Windows.Forms;

namespace FaceService

{

public partial class Form1 : Form

{

public Form1()

{

InitializeComponent();

}

static IntPtr engine;

string image_path = "";

string image_path2 = "";

private void button1_Click(object sender, EventArgs e)

{

engine = Native.create();

string model_path = Application.StartupPath + "\\face";

textBox1.Text = "正在初始化,请稍后......";

Application.DoEvents();

int res = Native.init(engine, model_path, "");

if (res == 0)

{

textBox1.Text = "初始化成功!";

MessageBox.Show("初始化成功");

}

else

{

textBox1.Text = "初始化失败,code:" + res;

MessageBox.Show("初始化失败,code:" + res);

}

}

/// <summary>

/// 人脸检测

/// </summary>

/// <param name="sender"></param>

/// <param name="e"></param>

private void button2_Click(object sender, EventArgs e)

{

if (engine == IntPtr.Zero)

{

MessageBox.Show("请先初始化!");

return;

}

if (image_path == "")

{

MessageBox.Show("请先选择图片!");

return;

}

textBox1.Text = "";

if (pictureBox2.Image != null)

{

pictureBox2.Image.Dispose();

}

pictureBox2.Image = null;

button2.Enabled = false;

Application.DoEvents();

Mat img = Cv2.ImRead(image_path);

StringBuilder json_result = new StringBuilder(1024);

int faceNum = Native.face_detect(engine, img.CvPtr, json_result);

if (faceNum > 0)

{

textBox1.Text = json_result.ToString();

// 将JSON字符串反序列化为对象

FaceBox[] FaceBoxs = JsonConvert.DeserializeObject<FaceBox[]>(json_result.ToString());

for (int i = 0; i < FaceBoxs.Length; i++)

{

FaceBox faceBox = FaceBoxs[i];

int x = (int)(faceBox.center_x - faceBox.width / 2);

int y = (int)(faceBox.center_y - faceBox.height / 2);

Rect rect = new Rect(x, y, (int)faceBox.width, (int)faceBox.height);

Cv2.PutText(img, faceBox.score.ToString("F2"), new OpenCvSharp.Point(x, y - 10), HersheyFonts.HersheySimplex, 1, Scalar.Red);

Cv2.Rectangle(img, rect, Scalar.Red);

}

pictureBox2.Image = new Bitmap(img.ToMemoryStream());

}

else

{

MessageBox.Show("未检测到人脸!");

}

button2.Enabled = true;

}

string fileFilter = "选择图片|*.bmp;*.jpg;*.jpeg;*.tiff;*.tiff;*.png";

/// <summary>

/// 选择图片

/// </summary>

/// <param name="sender"></param>

/// <param name="e"></param>

private void button3_Click(object sender, EventArgs e)

{

OpenFileDialog ofd = new OpenFileDialog();

ofd.InitialDirectory = Application.StartupPath + "\\test_img\\";

ofd.Filter = fileFilter;

if (ofd.ShowDialog() != DialogResult.OK) return;

pictureBox1.Image = null;

image_path = ofd.FileName;

pictureBox1.Image = new Bitmap(image_path);

textBox1.Text = "";

pictureBox2.Image = null;

}

private void Form1_Load(object sender, EventArgs e)

{

image_path = "test_img\\2.jpg";

pictureBox1.Image = new Bitmap(image_path);

}

/// <summary>

/// 获取人脸特征值

/// </summary>

/// <param name="sender"></param>

/// <param name="e"></param>

private void button4_Click(object sender, EventArgs e)

{

if (engine == IntPtr.Zero)

{

MessageBox.Show("请先初始化!");

return;

}

if (image_path == "")

{

MessageBox.Show("请先选择图片!");

return;

}

textBox1.Text = "";

if (pictureBox2.Image != null)

{

pictureBox2.Image.Dispose();

}

pictureBox2.Image = null;

button4.Enabled = false;

Application.DoEvents();

Mat img = Cv2.ImRead(image_path);

StringBuilder json_result = new StringBuilder(2048);

int faceNum = Native.face_feature(engine, img.CvPtr, json_result);

if (faceNum > 0)

{

textBox1.Text = json_result.ToString();

}

else

{

MessageBox.Show("未检测到人脸!");

}

button4.Enabled = true;

}

/// <summary>

/// 人脸比对

/// </summary>

/// <param name="sender"></param>

/// <param name="e"></param>

private void button5_Click(object sender, EventArgs e)

{

if (engine == IntPtr.Zero)

{

MessageBox.Show("请先初始化!");

return;

}

if (image_path == "")

{

MessageBox.Show("请先选择图片!");

return;

}

if (image_path2 == "")

{

MessageBox.Show("请先选择图片!");

return;

}

textBox1.Text = "";

button5.Enabled = false;

Application.DoEvents();

Mat img = Cv2.ImRead(image_path);

Mat img2 = Cv2.ImRead(image_path2);

float match_score = Native.face_match_by_img(engine, img.CvPtr, img2.CvPtr);

textBox1.Text = "match score:" + match_score.ToString("F2");

button5.Enabled = true;

}

private void button6_Click(object sender, EventArgs e)

{

OpenFileDialog ofd = new OpenFileDialog();

ofd.InitialDirectory = Application.StartupPath + "\\test_img\\";

ofd.Filter = fileFilter;

if (ofd.ShowDialog() != DialogResult.OK) return;

image_path2 = ofd.FileName;

pictureBox2.Image = null;

pictureBox2.Image = new Bitmap(image_path2);

}

}

}

/*

各接口返回结果 error_code 及 msg 信息如下:

错误码 错误内容 错误描述

0 SUCCESS 成功

-1 ILLEGAL_PARAMS 失败或非法参数

-2 MEMORY_ALLOCATION_FAILED 内存分配失败

-3 INSTANCE_IS_EMPTY 实例对象为空

-4 MODEL_IS_EMPTY 模型内容为空

-5 UNSUPPORT_ABILITY_TYPE 不支持的能力类型

-6 UNSUPPORT_INFER_TYPE 不支持的预测库类型

-7 NN_CREATE_FAILED 预测库对象创建失败

-8 NN_INIT_FAILED 预测库对象初始化失败

-9 IMAGE_IS_EMPTY 图像数据为空

-10 ABILITY_INIT_FAILED 人脸能力初始化失败

-11 ABILITY_UNLOAD 人脸能力未加载

-12 ABILITY_ALREADY_LOADED 人脸能力已加载

-13 NOT_AUTHORIZED 未授权

-14 ABILITY_RUN_EXCEPTION 人脸能力运行异常

-15 UNSUPPORT_IMAGE_TYPE 不支持的图像类型

-16 IMAGE_TRANSFORM_FAILED 图像转换失败

-1001 SYSTEM_ERROR 系统错误

-1002 PARARM_ERROR 参数错误

-1003 DB_OP_FAILED 数据库操作失败

-1004 NO_DATA 没有数据

-1005 RECORD_UNEXIST 记录不存在

-1006 RECORD_ALREADY_EXIST 记录已经存在

-1007 FILE_NOT_EXIST 文件不存在

-1008 GET_FEATURE_FAIL 提取特征值失败

-1009 FILE_TOO_BIG 文件太大

-1010 FACE_RESOURCE_NOT_EXIST 人脸资源文件不存在

-1011 FEATURE_LEN_ERROR 特征值长度错误

-1012 DETECT_NO_FACE 未检测到人脸

-1013 CAMERA_ERROR 摄像头错误或不存在

-1014 FACE_INSTANCE_ERROR 人脸引擎初始化错误

-1015 LICENSE_FILE_NOT_EXIST 授权文件不存在

-1016 LICENSE_KEY_EMPTY 授权序列号为空

-1017 LICENSE_KEY_INVALID 授权序列号无效

-1018 LICENSE_KEY_EXPIRE 授权序序列号过期

-1019 LICENSE_ALREADY_USED 授权序列号已被使用

-1020 DEVICE_ID_EMPTY 设备指纹为空

-1021 NETWORK_TIMEOUT 网络超时

-1022 NETWORK_ERROR 网络错误

-1023 CONF_INI_UNEXIST 配置 ini 文件不存在

-1024 WINDOWS_SERVER_ERROR 禁用在 Windows Server

*/

using FaceService.Common;
using Newtonsoft.Json;
using OpenCvSharp;
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Security.Cryptography;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;

namespace FaceService
{
    public partial class Form1 : Form
    {
        public Form1()
        {
            InitializeComponent();
        }

        static IntPtr engine;

        string image_path = "";
        string image_path2 = "";

        private void button1_Click(object sender, EventArgs e)
        {
            engine = Native.create();
            string model_path = Application.StartupPath + "\\face";
            textBox1.Text = "正在初始化,请稍后......";
            Application.DoEvents();
            int res = Native.init(engine, model_path, "");
            if (res == 0)
            {
                textBox1.Text = "初始化成功!";
                MessageBox.Show("初始化成功");
            }
            else
            {
                textBox1.Text = "初始化失败,code:" + res;
                MessageBox.Show("初始化失败,code:" + res);
            }
        }

        /// <summary>
        /// 人脸检测
        /// </summary>
        /// <param name="sender"></param>
        /// <param name="e"></param>
        private void button2_Click(object sender, EventArgs e)
        {
            if (engine == IntPtr.Zero)
            {
                MessageBox.Show("请先初始化!");
                return;
            }

            if (image_path == "")
            {
                MessageBox.Show("请先选择图片!");
                return;
            }
            textBox1.Text = "";
            if (pictureBox2.Image != null)
            {
                pictureBox2.Image.Dispose();
            }
            pictureBox2.Image = null;
            button2.Enabled = false;
            Application.DoEvents();

            Mat img = Cv2.ImRead(image_path);
            StringBuilder json_result = new StringBuilder(1024);
            int faceNum = Native.face_detect(engine, img.CvPtr, json_result);

            if (faceNum > 0)
            {
                textBox1.Text = json_result.ToString();
                // 将JSON字符串反序列化为对象
                FaceBox[] FaceBoxs = JsonConvert.DeserializeObject<FaceBox[]>(json_result.ToString());
                for (int i = 0; i < FaceBoxs.Length; i++)
                {
                    FaceBox faceBox = FaceBoxs[i];
                    int x = (int)(faceBox.center_x - faceBox.width / 2);
                    int y = (int)(faceBox.center_y - faceBox.height / 2);
                    Rect rect = new Rect(x, y, (int)faceBox.width, (int)faceBox.height);
                    Cv2.PutText(img, faceBox.score.ToString("F2"), new OpenCvSharp.Point(x, y - 10), HersheyFonts.HersheySimplex, 1, Scalar.Red);
                    Cv2.Rectangle(img, rect, Scalar.Red);
                }
                pictureBox2.Image = new Bitmap(img.ToMemoryStream());
            }
            else
            {
                MessageBox.Show("未检测到人脸!");
            }
            button2.Enabled = true;
        }


        string fileFilter = "选择图片|*.bmp;*.jpg;*.jpeg;*.tiff;*.tiff;*.png";

        /// <summary>
        /// 选择图片
        /// </summary>
        /// <param name="sender"></param>
        /// <param name="e"></param>
        private void button3_Click(object sender, EventArgs e)
        {
            OpenFileDialog ofd = new OpenFileDialog();
            ofd.InitialDirectory = Application.StartupPath + "\\test_img\\";
            ofd.Filter = fileFilter;

            if (ofd.ShowDialog() != DialogResult.OK) return;
            pictureBox1.Image = null;
            image_path = ofd.FileName;
            pictureBox1.Image = new Bitmap(image_path);
            textBox1.Text = "";
            pictureBox2.Image = null;

        }

        private void Form1_Load(object sender, EventArgs e)
        {
            image_path = "test_img\\2.jpg";
            pictureBox1.Image = new Bitmap(image_path);
        }

        /// <summary>
        /// 获取人脸特征值
        /// </summary>
        /// <param name="sender"></param>
        /// <param name="e"></param>
        private void button4_Click(object sender, EventArgs e)
        {
            if (engine == IntPtr.Zero)
            {
                MessageBox.Show("请先初始化!");
                return;
            }

            if (image_path == "")
            {
                MessageBox.Show("请先选择图片!");
                return;
            }
            textBox1.Text = "";
            if (pictureBox2.Image != null)
            {
                pictureBox2.Image.Dispose();
            }
            pictureBox2.Image = null;
            button4.Enabled = false;
            Application.DoEvents();

            Mat img = Cv2.ImRead(image_path);
            StringBuilder json_result = new StringBuilder(2048);
            int faceNum = Native.face_feature(engine, img.CvPtr, json_result);

            if (faceNum > 0)
            {
                textBox1.Text = json_result.ToString();
            }
            else
            {
                MessageBox.Show("未检测到人脸!");
            }
            button4.Enabled = true;
        }

        /// <summary>
        /// 人脸比对
        /// </summary>
        /// <param name="sender"></param>
        /// <param name="e"></param>
        private void button5_Click(object sender, EventArgs e)
        {
            if (engine == IntPtr.Zero)
            {
                MessageBox.Show("请先初始化!");
                return;
            }

            if (image_path == "")
            {
                MessageBox.Show("请先选择图片!");
                return;
            }

            if (image_path2 == "")
            {
                MessageBox.Show("请先选择图片!");
                return;
            }

            textBox1.Text = "";
            button5.Enabled = false;
            Application.DoEvents();

            Mat img = Cv2.ImRead(image_path);
            Mat img2 = Cv2.ImRead(image_path2);

            float match_score = Native.face_match_by_img(engine, img.CvPtr, img2.CvPtr);
            textBox1.Text = "match score:" + match_score.ToString("F2");
            button5.Enabled = true;
        }

        private void button6_Click(object sender, EventArgs e)
        {
            OpenFileDialog ofd = new OpenFileDialog();
            ofd.InitialDirectory = Application.StartupPath + "\\test_img\\";
            ofd.Filter = fileFilter;

            if (ofd.ShowDialog() != DialogResult.OK) return;
            image_path2 = ofd.FileName;
            pictureBox2.Image = null;
            pictureBox2.Image = new Bitmap(image_path2);
        }
    }
}

/*
 
 各接口返回结果 error_code 及 msg 信息如下:
错误码 错误内容 错误描述
0 SUCCESS 成功
-1 ILLEGAL_PARAMS 失败或非法参数
-2 MEMORY_ALLOCATION_FAILED 内存分配失败
-3 INSTANCE_IS_EMPTY 实例对象为空
-4 MODEL_IS_EMPTY 模型内容为空
-5 UNSUPPORT_ABILITY_TYPE 不支持的能力类型
-6 UNSUPPORT_INFER_TYPE 不支持的预测库类型
-7 NN_CREATE_FAILED 预测库对象创建失败
-8 NN_INIT_FAILED 预测库对象初始化失败
-9 IMAGE_IS_EMPTY 图像数据为空
-10 ABILITY_INIT_FAILED 人脸能力初始化失败
-11 ABILITY_UNLOAD 人脸能力未加载
-12 ABILITY_ALREADY_LOADED 人脸能力已加载
-13 NOT_AUTHORIZED 未授权
-14 ABILITY_RUN_EXCEPTION 人脸能力运行异常
-15 UNSUPPORT_IMAGE_TYPE 不支持的图像类型
-16 IMAGE_TRANSFORM_FAILED 图像转换失败
-1001 SYSTEM_ERROR 系统错误
-1002 PARARM_ERROR 参数错误
-1003 DB_OP_FAILED 数据库操作失败
-1004 NO_DATA 没有数据
-1005 RECORD_UNEXIST 记录不存在
-1006 RECORD_ALREADY_EXIST 记录已经存在
-1007 FILE_NOT_EXIST 文件不存在
-1008 GET_FEATURE_FAIL 提取特征值失败
-1009 FILE_TOO_BIG 文件太大
-1010 FACE_RESOURCE_NOT_EXIST 人脸资源文件不存在
-1011 FEATURE_LEN_ERROR 特征值长度错误
-1012 DETECT_NO_FACE 未检测到人脸
-1013 CAMERA_ERROR 摄像头错误或不存在
-1014 FACE_INSTANCE_ERROR 人脸引擎初始化错误
-1015 LICENSE_FILE_NOT_EXIST 授权文件不存在
-1016 LICENSE_KEY_EMPTY 授权序列号为空
-1017 LICENSE_KEY_INVALID 授权序列号无效
-1018 LICENSE_KEY_EXPIRE 授权序序列号过期
-1019 LICENSE_ALREADY_USED 授权序列号已被使用
-1020 DEVICE_ID_EMPTY 设备指纹为空
-1021 NETWORK_TIMEOUT 网络超时
-1022 NETWORK_ERROR 网络错误
-1023 CONF_INI_UNEXIST 配置 ini 文件不存在
-1024 WINDOWS_SERVER_ERROR 禁用在 Windows Server
 
 */
相关推荐
hope_wisdom4 天前
实战OpenCV之人脸识别
人工智能·opencv·计算机视觉·人脸识别·facedetectoryn
浅忆へ梦微凉13 天前
OpenCv综合应用——人脸识别
开发语言·人工智能·python·opencv·计算机视觉·人脸识别
某公司摸鱼前端2 个月前
uniapp生物识别示例(人脸识别、指纹识别)
uni-app·人脸识别·指纹识别
—你的鼬先生2 个月前
从零开始使用树莓派debian系统使用opencv4.10.0进行人脸识别(保姆级教程)
python·opencv·debian·人脸识别·二维码识别·opencv安装
Jiaberrr2 个月前
教你如何在微信小程序中轻松实现人脸识别功能
javascript·微信小程序·小程序·人脸识别·百度ai
Nicolas8932 个月前
【隐私计算篇】利用多方安全计算MPC实现VGG16人脸识别隐私计算模型
人脸识别·分布式存储·隐私计算·mpc·vgg16·多方安全计算·明密文混合
Crazy Struggle2 个月前
.NET 开源的功能强大的人脸识别 API
人脸识别·.net·facerecognitiondotnet
从懒虫到爬虫3 个月前
基于PCA-SVM的人脸识别系统(MATLAB GUI)
机器学习·支持向量机·matlab·人脸识别
mcusun20003 个月前
ESP32人脸识别开发--人脸识别模型(六)
人脸识别·esp32
as_jopo4 个月前
windows中使用人脸识别库face_recognition的教程
windows·python·人脸识别