【人体分析-人体关键点识别】-Java示例代码

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【人体分析-人体关键点识别】-Java示例代码

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最后编辑于2022-09

接口说明:http://ai.baidu.com/forum/topic/show/497747

人体关键点识别，即对于输入的一张图片（可正常解码，且长宽比适宜），输出图片中的所有人体的14个关键点，包含四肢、脖颈、鼻子等部位，以及人体的坐标信息和数量

-----------------------------------------------------下面开始代码-----------------------------------------------------

人体关键点识别接口示例代码-(JavaAPI)

package com.xs.image;

import java.net.URLEncoder;

import com.alibaba.fastjson.JSON;
import com.xs.common.image.ImageAPI;
import com.xs.pojo.image.BodyAnalysisBean;
import com.xs.util.baidu.Base64Util;
import com.xs.util.baidu.FileUtil;
import com.xs.util.baidu.HttpUtil;
/**
 * 人体关键点识别-JavaAPI示例代码(非官方)
 * @author 小帅丶
 */
public class BodyAnalysisSample {
	public static void main(String[] args) throws Exception {
		//返回字符串
		String result = getBodyAnalysisResult("本地图片路径", "自己的accesstoken");
		System.out.println(result);
		//返回java对象
		//BodyAnalysisBean bodyAnalysisBean = getBodyAnalysisBean("本地图片路径", "自己的accesstoken");
		//System.out.println("图中有"+bodyAnalysisBean.getPerson_num()+"个人");
	}
	/**
	 * 人体关键点识别Demo
	 * @param imagePath
	 * @param accessToken
	 * @return 字符串
	 * @throws Exception
	 */
	public static String getBodyAnalysisResult(String imagePath,String accessToken) throws Exception{
		byte[] imgData = FileUtil.readFileByBytes(imagePath);
        String imgStr = Base64Util.encode(imgData);
		String param = "image=" + URLEncoder.encode(imgStr,"UTF-8");
        // 注意这里仅为了简化编码每一次请求都去获取access_token，线上环境access_token有过期时间， 客户端可自行缓存，过期后重新获取。
		String result = HttpUtil.post(ImageAPI.BODYANALYSIS_API, accessToken, param);
        System.out.println(result);
        return result;
	}
	/**
	 * 人体关键点识别Demo
	 * @param imagePath
	 * @param accessToken
	 * @return CarMode对象
	 * @throws Exception
	 */
	public static BodyAnalysisBean getBodyAnalysisBean(String imagePath,String accessToken) throws Exception{
		byte[] imgData = FileUtil.readFileByBytes(imagePath);
        String imgStr = Base64Util.encode(imgData);
		String param = "image=" + URLEncoder.encode(imgStr,"UTF-8");
        // 注意这里仅为了简化编码每一次请求都去获取access_token，线上环境access_token有过期时间， 客户端可自行缓存，过期后重新获取。
		String result = HttpUtil.post(ImageAPI.BODYANALYSIS_API, accessToken, param);
		BodyAnalysisBean bodyAnalysisBean = JSON.parseObject(result,BodyAnalysisBean.class);
        System.out.println(result);
        return bodyAnalysisBean;
	}
}

识别返回的JSON数据(特别长，不做格式化)

{"person_num": 2, "person_info": [{"body_parts": {"right_wrist": {"y": 187.1351776123047, "x": 356.5876770019531}, "right_hip": {"y": 245.2404174804688, "x": 334.6790466308594}, "neck": {"y": 129.0636596679688, "x": 363.0102233886719}, "left_shoulder": {"y": 130.3773803710938, "x": 382.3029479980469}, "left_knee": {"y": 333.028076171875, "x": 375.8851013183594}, "right_elbow": {"y": 183.2697601318359, "x": 306.3629760742188}, "right_shoulder": {"y": 127.7778701782227, "x": 343.6992492675781}, "right_ankle": {"y": 441.4400329589844, "x": 290.8769836425781}, "left_hip": {"y": 246.5243682861328, "x": 364.3192138671875}, "left_ankle": {"y": 440.1803283691406, "x": 396.4710693359375}, "left_elbow": {"y": 189.7247772216797, "x": 374.6240844726562}, "left_wrist": {"y": 0.0, "x": 0.0}, "right_knee": {"y": 338.1686706542969, "x": 317.9450988769531}, "nose": {"y": 91.65258026123047, "x": 393.8951416015625}}, "location": {"width": 171.0154724121094, "top": 49.52960968017578, "left": 258.1662902832031, "height": 425.4703979492188}}, {"body_parts": {"right_wrist": {"y": 219.4005584716797, "x": 136.4501953125}, "right_hip": {"y": 220.7348327636719, "x": 133.8620758056641}, "neck": {"y": 103.2406234741211, "x": 141.5971832275391}, "left_shoulder": {"y": 101.9672470092773, "x": 158.2781219482422}, "left_knee": {"y": 296.859619140625, "x": 141.5889587402344}, "right_elbow": {"y": 162.6289672851562, "x": 117.1964874267578}, "right_shoulder": {"y": 105.8178405761719, "x": 128.6884613037109}, "right_ankle": {"y": 373.0259094238281, "x": 106.87158203125}, "left_hip": {"y": 220.7161102294922, "x": 150.6210479736328}, "left_ankle": {"y": 374.3226928710938, "x": 119.7342681884766}, "left_elbow": {"y": 165.2007141113281, "x": 154.4678649902344}, "left_wrist": {"y": 222.0592193603516, "x": 166.0699157714844}, "right_knee": {"y": 302.0010681152344, "x": 160.9004821777344}, "nose": {"y": 63.22677230834961, "x": 180.2331695556641}}, "location": {"width": 153.0357818603516, "top": 23.61567878723145, "left": 67.03448486328125, "height": 382.5894470214844}}], "log_id": 1955353647031530539}

原图文件

即使图上有17个人也是可以返回每个人的姿态信息哦(最好是有半个身子)

字符串返回不太方便处理。那就对象处理。不会转对象的。我已经帮忙做了。

JavaBean对象:

package com.xs.pojo.image;

import java.util.List;
/**
 * 人体关键点识别 JavaBean
 * @author 小帅丶
 *
 */
public class BodyAnalysisBean {
	//人体数目
    private int person_num;
    //人体姿态信息
    private List person_info;
    //唯一的log id，用于问题定位
    private long log_id;
    public int getPerson_num() {
		return person_num;
	}
	public void setPerson_num(int person_num) {
		this.person_num = person_num;
	}
	public List getPerson_info() {
		return person_info;
	}
	public void setPerson_info(List person_info) {
		this.person_info = person_info;
	}
	public long getLog_id() {
		return log_id;
	}
	public void setLog_id(long log_id) {
		this.log_id = log_id;
	}
	public static class Person_info {
        private Body_parts body_parts;
        private Location location;
        public void setBody_parts(Body_parts body_parts) {
             this.body_parts = body_parts;
         }
         public Body_parts getBody_parts() {
             return body_parts;
         }
        public void setLocation(Location location) {
             this.location = location;
         }
         public Location getLocation() {
             return location;
         }
    }
    public static class Body_parts {
        private Right_wrist right_wrist;
        private Right_hip right_hip;
        private Neck neck;
        private Left_shoulder left_shoulder;
        private Left_knee left_knee;
        private Right_elbow right_elbow;
        private Right_shoulder right_shoulder;
        private Right_ankle right_ankle;
        private Left_hip left_hip;
        private Left_ankle left_ankle;
        private Left_elbow left_elbow;
        private Left_wrist left_wrist;
        private Right_knee right_knee;
        private Nose nose;
        public void setRight_wrist(Right_wrist right_wrist) {
             this.right_wrist = right_wrist;
         }
         public Right_wrist getRight_wrist() {
             return right_wrist;
         }

        public void setRight_hip(Right_hip right_hip) {
             this.right_hip = right_hip;
         }
         public Right_hip getRight_hip() {
             return right_hip;
         }

        public void setNeck(Neck neck) {
             this.neck = neck;
         }
         public Neck getNeck() {
             return neck;
         }

        public void setLeft_shoulder(Left_shoulder left_shoulder) {
             this.left_shoulder = left_shoulder;
         }
         public Left_shoulder getLeft_shoulder() {
             return left_shoulder;
         }

        public void setLeft_knee(Left_knee left_knee) {
             this.left_knee = left_knee;
         }
         public Left_knee getLeft_knee() {
             return left_knee;
         }

        public void setRight_elbow(Right_elbow right_elbow) {
             this.right_elbow = right_elbow;
         }
         public Right_elbow getRight_elbow() {
             return right_elbow;
         }

        public void setRight_shoulder(Right_shoulder right_shoulder) {
             this.right_shoulder = right_shoulder;
         }
         public Right_shoulder getRight_shoulder() {
             return right_shoulder;
         }

        public void setRight_ankle(Right_ankle right_ankle) {
             this.right_ankle = right_ankle;
         }
         public Right_ankle getRight_ankle() {
             return right_ankle;
         }

        public void setLeft_hip(Left_hip left_hip) {
             this.left_hip = left_hip;
         }
         public Left_hip getLeft_hip() {
             return left_hip;
         }

        public void setLeft_ankle(Left_ankle left_ankle) {
             this.left_ankle = left_ankle;
         }
         public Left_ankle getLeft_ankle() {
             return left_ankle;
         }

        public void setLeft_elbow(Left_elbow left_elbow) {
             this.left_elbow = left_elbow;
         }
         public Left_elbow getLeft_elbow() {
             return left_elbow;
         }

        public void setLeft_wrist(Left_wrist left_wrist) {
             this.left_wrist = left_wrist;
         }
         public Left_wrist getLeft_wrist() {
             return left_wrist;
         }

        public void setRight_knee(Right_knee right_knee) {
             this.right_knee = right_knee;
         }
         public Right_knee getRight_knee() {
             return right_knee;
         }

        public void setNose(Nose nose) {
             this.nose = nose;
         }
         public Nose getNose() {
             return nose;
         }
    }
    public static class Left_ankle {
        private double y;
        private double x;
        public void setY(double y) {
             this.y = y;
         }
         public double getY() {
             return y;
         }

        public void setX(double x) {
             this.x = x;
         }
         public double getX() {
             return x;
         }
    }
    public static class Left_elbow {

        private double y;
        private double x;
        public void setY(double y) {
             this.y = y;
         }
         public double getY() {
             return y;
         }

        public void setX(double x) {
             this.x = x;
         }
         public double getX() {
             return x;
         }
    }
    public static class Left_hip {
        private double y;
        private double x;
        public void setY(double y) {
             this.y = y;
         }
         public double getY() {
             return y;
         }

        public void setX(double x) {
             this.x = x;
         }
         public double getX() {
             return x;
         }
    }
    public static class Left_knee {
        private double y;
        private double x;
        public void setY(double y) {
             this.y = y;
         }
         public double getY() {
             return y;
         }

        public void setX(double x) {
             this.x = x;
         }
         public double getX() {
             return x;
         }
    }
    public static class Left_shoulder {
        private double y;
        private double x;
        public void setY(double y) {
             this.y = y;
         }
         public double getY() {
             return y;
         }

        public void setX(double x) {
             this.x = x;
         }
         public double getX() {
             return x;
         }
    }
    public static class Left_wrist {
        private int y;
        private int x;
        public void setY(int y) {
             this.y = y;
         }
         public int getY() {
             return y;
         }

        public void setX(int x) {
             this.x = x;
         }
         public int getX() {
             return x;
         }
    }
    public static class Location {
        private double width;
        private double top;
        private double left;
        private double height;
        public void setWidth(double width) {
             this.width = width;
         }
         public double getWidth() {
             return width;
         }

        public void setTop(double top) {
             this.top = top;
         }
         public double getTop() {
             return top;
         }

        public void setLeft(double left) {
             this.left = left;
         }
         public double getLeft() {
             return left;
         }

        public void setHeight(double height) {
             this.height = height;
         }
         public double getHeight() {
             return height;
         }
    }
    public static class Neck {
        private double y;
        private double x;
        public void setY(double y) {
             this.y = y;
         }
         public double getY() {
             return y;
         }

        public void setX(double x) {
             this.x = x;
         }
         public double getX() {
             return x;
         }
    }
    public static class Nose {
        private double y;
        private double x;
        public void setY(double y) {
             this.y = y;
         }
         public double getY() {
             return y;
         }

        public void setX(double x) {
             this.x = x;
         }
         public double getX() {
             return x;
         }
    }
    public static class Right_ankle {
        private double y;
        private double x;
        public void setY(double y) {
             this.y = y;
         }
         public double getY() {
             return y;
         }

        public void setX(double x) {
             this.x = x;
         }
         public double getX() {
             return x;
         }
    }
    public static class Right_elbow {
        private double y;
        private double x;
        public void setY(double y) {
             this.y = y;
         }
         public double getY() {
             return y;
         }

        public void setX(double x) {
             this.x = x;
         }
         public double getX() {
             return x;
         }
    }
    public static class Right_hip {
        private double y;
        private double x;
        public void setY(double y) {
             this.y = y;
         }
         public double getY() {
             return y;
         }

        public void setX(double x) {
             this.x = x;
         }
         public double getX() {
             return x;
         }
    }
    public static class Right_knee {
        private double y;
        private double x;
        public void setY(double y) {
             this.y = y;
         }
         public double getY() {
             return y;
         }

        public void setX(double x) {
             this.x = x;
         }
         public double getX() {
             return x;
         }
    }
    public static class Right_wrist {
        private double y;
        private double x;
        public void setY(double y) {
             this.y = y;
         }
         public double getY() {
             return y;
         }

        public void setX(double x) {
             this.x = x;
         }
         public double getX() {
             return x;
         }
    }
    public static class Right_shoulder {
        private double y;
        private double x;
        public void setY(double y) {
             this.y = y;
         }
         public double getY() {
             return y;
         }

        public void setX(double x) {
             this.x = x;
         }
         public double getX() {
             return x;
         }
    }
}

以上就是人体关键点识别示例代码-JavaAPI形式

代码地址:https://gitee.com/xshuai/ai/blob/master/AIDemo/src/main/java/com/xs/image/BodyAnalysisSample.java

C#语言(By 图像识别群透明色(69046437))

using AForge.Video.DirectShow;
using DevExpress.XtraBars.Docking2010.Customization;
using DevExpress.XtraEditors;
using Emgu.CV;
using Emgu.CV.Structure;
using FaceDemo.Entity;
using FaceDemo.Entity.BodyAPI;
using FaceDemo.Entity.Config;
using FaceDemo.Entity.FaceAPI;
using FaceDemo.Utils;
using Newtonsoft.Json;
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Net;
using System.Text;
using System.Threading;
using System.Windows.Forms;

namespace FaceDemo
{
    public partial class FormPassengerFlow  XtraForm
    {
        public FormPassengerFlow()
        {
            InitializeComponent();
        }

        private ConfigEntity _ConfigEntity;
        private string access_token;
        private string authHost = httpsaip.baidubce.comoauth2.0token;获取Token  POST
        private string bodyAnalysisUrl = httpsaip.baidubce.comrest2.0image-classifyv1body_analysis;人体关键点识别  POST
        private string bodyAttrUrl = httpsaip.baidubce.comrest2.0image-classifyv1body_attr;人体属性识别  POST
        private string bodyNumUrl = httpsaip.baidubce.comrest2.0image-classifyv1body_num;人流量统计  POST
        private Encoding encode = Encoding.UTF8;
        private string contentType = applicationx-www-form-urlencoded;

        private Rectangle detectArea = new Rectangle();检测区域
        private int areaNum = 0;区域人数
        private int inNum = 0;进入人数
        private int outNum = 0;离开人数

        private int curFPS = 1;
        private bool isFormClose = false;

        private void FormPassengerFlow_Load(object sender, EventArgs e)
        {
            _ConfigEntity = ConfigHelper.Read();
            access_token = GetToken(_ConfigEntity.BodyAccount.APIKey, _ConfigEntity.BodyAccount.SecretKey);

            获取并枚举所有摄像头设备
            FilterInfoCollection Cameras = new FilterInfoCollection(FilterCategory.VideoInputDevice);
            判断设备个数，选择第一个设备
            if (Cameras != null && Cameras.Count  0)
            {
                VideoCaptureDevice vcd = new VideoCaptureDevice(Cameras[0].MonikerString);

                检查摄像头支持的像素，优先设置为1280720
                if (vcd.VideoCapabilities.ToList().Exists(p = p.FrameSize.Width == 1280 && p.FrameSize.Height == 720))
                    vcd.VideoResolution = vcd.VideoCapabilities.ToList().Find(p = p.FrameSize.Width == 1280 && p.FrameSize.Height == 720);

                videoSourcePlayer1.VideoSource = vcd;
                videoSourcePlayer1.NewFrame += VideoSourcePlayer1_NewFrame;
                videoSourcePlayer1.Start();
            }
        }

        private void VideoSourcePlayer1_NewFrame(object sender, ref Bitmap image)
        {
            Emgu.CV.ImageBgr, Byte imageCV = new ImageBgr, byte(image.Clone() as Bitmap);

            抽帧进行客流量统计
            int maxFPS = 25;
            if (this.curFPS % (maxFPS  Convert.ToDouble(_ConfigEntity.ImageOperate.GrabFrame))  1)
            {
                if (!detectArea.IsEmpty)
                {
                    byte[] bytes = ImageHelper.CaptureImage(imageCV.ToJpegData(), detectArea.X, detectArea.Y, detectArea.Width, detectArea.Height - detectArea.Y);
                    ThreadPool.QueueUserWorkItem(new WaitCallback(BodyNumLookup), bytes);
                }
            }

            using (Graphics g = Graphics.FromImage(image))
            {
                设置检测区
                if (detectArea.IsEmpty)
                {
                    detectArea = new Rectangle(0, (int)(image.Height  0.4), image.Width, (int)(image.Height  0.6));
                }

                try
                {
                    进入检测线
                    g.DrawLine(new Pen(Color.FromArgb(100, Color.Lime), 2), detectArea.X, detectArea.Y, detectArea.Width, detectArea.Y);
                    g.DrawString(进入检测线 ↓,
                        new Font(微软雅黑, 9, FontStyle.Regular),
                        new SolidBrush(Color.FromArgb(150, Color.Lime)),
                        10, detectArea.Y - 20);

                    离开检测线
                    g.DrawLine(new Pen(Color.FromArgb(100, Color.Red), 2),
                          0, detectArea.Height, detectArea.Width, detectArea.Height);
                    g.DrawString(离开检测线 ↑,
                        new Font(微软雅黑, 9, FontStyle.Regular),
                        new SolidBrush(Color.FromArgb(150, Color.Red)),
                        10, detectArea.Height + 5);

                    显示统计人数
                    g.DrawString(区域： + areaNum.ToString() + 人,
                        new Font(微软雅黑, 9, FontStyle.Regular),
                        new SolidBrush(Color.FromArgb(150, Color.White)),
                        10, 20);
                    g.DrawString(进入： + inNum.ToString() + 人,
                        new Font(微软雅黑, 9, FontStyle.Regular),
                        new SolidBrush(Color.FromArgb(150, Color.White)),
                        10, 45);
                    g.DrawString(离开： + outNum.ToString() + 人,
                        new Font(微软雅黑, 9, FontStyle.Regular),
                        new SolidBrush(Color.FromArgb(150, Color.White)),
                        10, 70);
                }
                catch { }
            }

            if (this.curFPS == maxFPS)
                this.curFPS = 1;
            else
                this.curFPS++;
        }

        private void BodyNumLookup(object parameter)
        {
            byte[] sJpegPicBuffer = parameter as byte[];
            string image = Convert.ToBase64String(sJpegPicBuffer).Replace(n, n).Replace(+, %2B);
            try
            {
                string url = bodyNumUrl + access_token= + this.access_token;
                string paras = string.Empty;
                paras += image= + image ;
                HttpWebResponse response = HttpWebResponseUtility.CreatePostHttpResponse(url, paras, encode, contentType);
                string content = HttpWebResponseUtility.GetResponesContent(response);
                BodyNum bodyNum = JsonConvert.DeserializeObjectBodyNum(content);
                this.Invoke(new MethodInvoker(() =
                {
                    textBox1.Text = bodyNum.person_num.ToString();
                }));
            }
            catch { }
        }

        private string GetToken(string client_id, string client_secret)
        {
            try
            {
                string paras = string.Empty;
                string grant_type = client_credentials;
                paras += grant_type= + grant_type + &;
                paras += client_id= + client_id + &;
                paras += client_secret= + client_secret;
                HttpWebResponse response = HttpWebResponseUtility.CreatePostHttpResponse(authHost, paras, encode, contentType);
                string content = HttpWebResponseUtility.GetResponesContent(response);
                OauthInfo oauthInfo = JsonConvert.DeserializeObjectOauthInfo(content);
                return oauthInfo.access_token;
            }
            catch { }

            return ;
        }

        private void simpleButton_ClearCount_Click(object sender, EventArgs e)
        {
            if (this.areaNum  0)
            {
                DialogResult dr = FlyoutDialog.Show(this,  rn区域存在人数，确定要清除吗？rn , MessageBoxButtons.OKCancel);
                if (dr == DialogResult.Cancel) return;
            }
            this.areaNum = 0;
            this.inNum = 0;
            this.outNum = 0;
        }

        #region 关闭窗体

        private void simpleButton_Exit_Click(object sender, EventArgs e)
        {
            this.Close();
        }

        private void FormPassengerFlow_FormClosing(object sender, FormClosingEventArgs e)
        {
            if (videoSourcePlayer1.IsRunning)
            {
                videoSourcePlayer1.SignalToStop();
                videoSourcePlayer1.WaitForStop();
            }

            this.isFormClose = true;
        }

        #endregion
    }
}

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共33条回复最后由qq568745633回复于2022-09

#15未央love1314回复于2018-02

对#14 用户已被禁言回复

12楼已经回复相关示例代码哦

好的，谢谢

#14用户已被禁言回复于2018-02

对#13 未央love1314回复

好，谢谢啦。写完希望可以指导我一下

12楼已经回复相关示例代码哦

#13未央love1314回复于2018-02

对#11 用户已被禁言回复

我等会也用nodejs试一下。感觉nodejs不难呀

好，谢谢啦。写完希望可以指导我一下

#12用户已被禁言回复于2018-02

对#8 未央love1314回复

地址是没有问题的 host: 'aip.baidubce.com', path:'/rest/2.0/image‐classify/v1/body_analysis?access_token=24.02914491b3b7ad6a8ef7ead28c7a2440.2592000.1522330821.282335-10856282', 添加不了图片，只好复制代码。用node写的，access_token 是作为参数添加到地址后吗

展开

NodeJS-API示例代码

var https = require('https')
var qs = require('querystring')
var param = qs.stringify({
    'access_token':'自己的token'
});
var fs = require('fs');
var image = fs.readFileSync("图片本地路径").toString("base64");
var postData =qs.stringify({
    image:image
})
var options = {
    hostname: 'aip.baidubce.com',
    path: '/rest/2.0/image-classify/v1/body_analysis?' + param,
    method: 'POST',
    headers: {
        'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8'
    }
};
var req = https.request(
    options,
    function (res) {
        // 在标准输出中查看运行结果
        res.pipe(process.stdout);
    }
);
// 携带数据发送https请求
req.write(postData);
req.end();

#11用户已被禁言回复于2018-02

对#8 未央love1314回复

展开

我等会也用nodejs试一下。感觉nodejs不难呀

#10未央love1314回复于2018-02

对#9 荒墨丶迷失回复

可以添加图片你先截图保存然后点击上方最右边的图片图标即可~

一个截图而已，提示我图片审核失败

#9荒墨丶迷失回复于2018-02

对#8 未央love1314回复

展开

可以添加图片你先截图保存然后点击上方最右边的图片图标即可~

#8未央love1314回复于2018-02

地址是没有问题的

host: 'aip.baidubce.com',
path:'/rest/2.0/image‐classify/v1/body_analysis?access_token=24.02914491b3b7ad6a8ef7ead28c7a2440.2592000.1522330821.282335-10856282',

添加不了图片，只好复制代码。用node写的，access_token 是作为参数添加到地址后吗

#7用户已被禁言回复于2018-02

对#6 未央love1314回复

提示调用的api不存在是为什么

请检查接口地址是否正确。且参数拼接是否第一个参数用?后续参数用&

#6未央love1314回复于2018-02

提示调用的api不存在是为什么

#5melissayoung回复于2018-02

为你疯狂打电话~

#4风搅火回复于2018-02

太深奥了

#3荒墨丶迷失回复于2018-02

这个是邀测的人体分析吗这么快就接入了哈哈小帅效率~

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邀测 | 红酒识别技术申请试用抢先体验

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