人体模型 java代码_【人体分析-人体关键点识别】-Java示例代码
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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