运用百度云接口完成人脸识别(免费)

完成的项目例子
http://download.csdn.net/download/weixin_39549656/10216565
首先需要开通人脸识别每秒2次访问量免费
开通地址
http://ai.baidu.com/event/facefree?hmsr=developer&hmpl=%E4%BA%BA%E8%84%B8%E5%85%8D%E8%B4%B9

去控制台获得API Key和 Secret Key

文件目录

通过AuthService.java获得token

import org.json.JSONObject;

import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.net.HttpURLConnection;
import java.net.URL;
import java.util.List;
import java.util.Map;

/**
 * 获取token类
 */
public class AuthService {

    /**
     * 获取权限token
     * @return 返回示例：
     * {
     * "access_token": "24.460da4889caad24cccdb1fea17221975.2592000.1491995545.282335-1234567",
     * "expires_in": 2592000
     * }
     */
    public static String getAuth() {

        // 官网获取的 API Key 更新为你注册的
        String clientId = "百度云应用的AK";

        // 官网获取的 Secret Key 更新为你注册的
        String clientSecret = "百度云应用的SK";

        return getAuth(clientId, clientSecret);
    }

    /**
     * 获取API访问token
     * 该token有一定的有效期，需要自行管理，当失效时需重新获取.
     * @param ak - 百度云官网获取的 API Key
     * @param sk - 百度云官网获取的 Securet Key
     * @return assess_token 示例：
     * "24.460da4889caad24cccdb1fea17221975.2592000.1491995545.282335-1234567"
     */
    public static String getAuth(String ak, String sk) {
        // 获取token地址
        String authHost = "https://aip.baidubce.com/oauth/2.0/token?";
        String getAccessTokenUrl = authHost
                // 1. grant_type为固定参数
                + "grant_type=client_credentials"
                // 2. 官网获取的 API Key
                + "&client_id=" + ak
                // 3. 官网获取的 Secret Key
                + "&client_secret=" + sk;
        try {
            URL realUrl = new URL(getAccessTokenUrl);
            // 打开和URL之间的连接
            HttpURLConnection connection = (HttpURLConnection) realUrl.openConnection();
            connection.setRequestMethod("GET");
            connection.connect();
            // 获取所有响应头字段
            Map<String, List<String>> map = connection.getHeaderFields();
            // 遍历所有的响应头字段
            for (String key : map.keySet()) {
                System.err.println(key + "--->" + map.get(key));
            }
            // 定义 BufferedReader输入流来读取URL的响应
            BufferedReader in = new BufferedReader(new InputStreamReader(connection.getInputStream()));
            String result = "";
            String line;
            while ((line = in.readLine()) != null) {
                result += line;
            }
            /**
             * 返回结果示例
             */
            System.err.println("result:" + result);
            JSONObject jsonObject = new JSONObject(result);
            String access_token = jsonObject.getString("access_token");
            return access_token;
        } catch (Exception e) {
            System.err.printf("获取token失败！");
            e.printStackTrace(System.err);
        }
        return null;
    }
    public static void main(String[] args) {
        System.out.println(getAuth());


    }

}

利用token 并下载响应的jar包 选择响应的图片路径代码
FaceDetect .java

import com.baidu.ai.aip.utils.Base64Util;
import com.baidu.ai.aip.utils.FileUtil;
import com.baidu.ai.aip.utils.HttpUtil;

import java.net.URLEncoder;

/**
* 人脸探测
*/
public class FaceDetect {

    /**
    * 重要提示代码中所需工具类
    * FileUtil,Base64Util,HttpUtil,GsonUtils请从
    * https://ai.baidu.com/file/658A35ABAB2D404FBF903F64D47C1F72
    * https://ai.baidu.com/file/C8D81F3301E24D2892968F09AE1AD6E2
    * https://ai.baidu.com/file/544D677F5D4E4F17B4122FBD60DB82B3
    * https://ai.baidu.com/file/470B3ACCA3FE43788B5A963BF0B625F3
    * 下载
    */
    public static String detect() {
        // 请求url
        String url = "https://aip.baidubce.com/rest/2.0/face/v1/detect";
        try {
            // 本地文件路径
            String filePath = "[本地文件路径]";
            byte[] imgData = FileUtil.readFileByBytes(filePath);
            String imgStr = Base64Util.encode(imgData);
            String imgParam = URLEncoder.encode(imgStr, "UTF-8");

            String param = "max_face_num=" + 5 + "&face_fields=" + "age,beauty,expression,faceshape,gender,glasses,landmark,race,qualities" + "&image=" + imgParam;

            // 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 accessToken = "[调用鉴权接口获取的token]";

            String result = HttpUtil.post(url, accessToken, param);
            System.out.println(result);
            return result;
        } catch (Exception e) {
            e.printStackTrace();
        }
        return null;
    }

    public static void main(String[] args) {
        FaceDetect.detect();
    }
}

测试成功如下

{"result_num":1,"result":[{"location":{"left":77,"top":144,"width":149,"height":154},"face_probability":1,"rotation_angle":1,"yaw":-0.45118400454521,"pitch":5.3421592712402,"roll":1.474733710289,"landmark":[{"x":115,"y":169},{"x":185,"y":171},{"x":150,"y":212},{"x":149,"y":249}],"landmark72":[{"x":76,"y":170},{"x":78,"y":194},{"x":81,"y":219},{"x":87,"y":244},{"x":100,"y":270},{"x":123,"y":292},{"x":148,"y":300},{"x":173,"y":294},{"x":197,"y":273},{"x":212,"y":247},{"x":218,"y":222},{"x":223,"y":198},{"x":225,"y":173},{"x":99,"y":171},{"x":106,"y":166},{"x":114,"y":165},{"x":123,"y":167},{"x":130,"y":174},{"x":122,"y":175},{"x":114,"y":176},{"x":105,"y":174},{"x":115,"y":169},{"x":88,"y":155},{"x":98,"y":145},{"x":111,"y":144},{"x":123,"y":147},{"x":134,"y":155},{"x":122,"y":155},{"x":111,"y":153},{"x":99,"y":153},{"x":170,"y":175},{"x":178,"y":169},{"x":186,"y":167},{"x":193,"y":168},{"x":200,"y":174},{"x":194,"y":176},{"x":186,"y":178},{"x":178,"y":177},{"x":185,"y":171},{"x":166,"y":157},{"x":177,"y":149},{"x":188,"y":147},{"x":200,"y":148},{"x":210,"y":158},{"x":200,"y":157},{"x":189,"y":156},{"x":178,"y":157},{"x":140,"y":175},{"x":137,"y":190},{"x":134,"y":205},{"x":129,"y":220},{"x":139,"y":221},{"x":160,"y":221},{"x":170,"y":221},{"x":166,"y":205},{"x":163,"y":191},{"x":160,"y":176},{"x":150,"y":212},{"x":122,"y":248},{"x":135,"y":241},{"x":149,"y":241},{"x":163,"y":242},{"x":174,"y":249},{"x":163,"y":257},{"x":148,"y":261},{"x":134,"y":257},{"x":135,"y":247},{"x":149,"y":248},{"x":162,"y":248},{"x":162,"y":250},{"x":149,"y":250},{"x":136,"y":249}],"age":31.849361419678,"beauty":58.011905670166,"expression":0,"expression_probablity":0.99998700618744,"faceshape":[{"type":"square","probability":0.10893177986145},{"type":"triangle","probability":0.0039200717583299},{"type":"oval","probability":0.73189455270767},{"type":"heart","probability":0.052113145589828},{"type":"round","probability":0.10314042121172}],"gender":"male","gender_probability":0.99999928474426,"glasses":0,"glasses_probability":0.99999630451202,"race":"yellow","race_probability":0.99998033046722,"qualities":{"occlusion":{"left_eye":0,"right_eye":0,"nose":0,"mouth":0,"left_cheek":0,"right_cheek":0,"chin":0},"blur":0,"illumination":0,"completeness":0,"type":{"human":0.99938035011292,"cartoon":0.00061963585903868}}}],"log_id":4130331474}

返回说明

返回参数

参数 类型 必选 说明
log_id uint64 是 日志id
result_num uint32 是 人脸数目
result object[] 是 人脸属性对象的集合
+age double 否 年龄。face_fields包含age时返回
+beauty double 否 美丑打分，范围0-100，越大表示越美。face_fields包含beauty时返回
+location object 是 人脸在图片中的位置
++left uint32 是 人脸区域离左边界的距离
++top uint32 是 人脸区域离上边界的距离
++width uint32 是 人脸区域的宽度
++height uint32 是 人脸区域的高度
+face_probability double 是 人脸置信度，范围0-1
+rotation_angle int32 是 人脸框相对于竖直方向的顺时针旋转角，[-180,180]
+yaw double 是 三维旋转之左右旋转角[-90(左), 90(右)]
+pitch double 是 三维旋转之俯仰角度[-90(上), 90(下)]
+roll double 是 平面内旋转角[-180(逆时针), 180(顺时针)]
+expression uint32 否 表情，0，不笑；1，微笑；2，大笑。face_fields包含expression时返回
+expression_probability double 否 表情置信度，范围0~1。face_fields包含expression时返回
+faceshape object[] 否 脸型置信度。face_fields包含faceshape时返回
++type string 是 脸型：square/triangle/oval/heart/round
++probability double 是 置信度：0~1
+gender string 否 male、female。face_fields包含gender时返回
+gender_probability double 否 性别置信度，范围[0~1]，face_fields包含gender时返回
+glasses uint32 否 是否带眼镜，0-无眼镜，1-普通眼镜，2-墨镜。face_fields包含glasses时返回
+glasses_probability double 否 眼镜置信度，范围[0~1]，face_fields包含glasses时返回
+landmark object[] 否 4个关键点位置，左眼中心、右眼中心、鼻尖、嘴中心。face_fields包含landmark时返回
++x uint32 否 x坐标
++y uint32 否 y坐标
+landmark72 object[] 否 72个特征点位置，face_fields包含landmark时返回
++x uint32 否 x坐标
++y uint32 否 y坐标
+race string 否 yellow、white、black、arabs。face_fields包含race时返回
+race_probability double 否 人种置信度，范围[0~1]，face_fields包含race时返回
+qualities object 否 人脸质量信息。face_fields包含qualities时返回
++occlusion object 是 人脸各部分遮挡的概率，范围[0~1]，0表示完整，1表示不完整
+++left_eye double 是 左眼遮挡比例
+++right_eye double 是 右眼遮挡比例
+++nose double 是 鼻子遮挡比例
+++mouth double 是 嘴巴遮挡比例
+++left_cheek double 是 左脸颊遮挡比例
+++right_cheek double 是 右脸颊遮挡比例
+++chin double 是 下巴遮挡比例
++blur double 是 人脸模糊程度，范围[0~1]，0表示清晰，1表示模糊
++illumination - 是 取值范围在[0~255],表示脸部区域的光照程度
++completeness - 是 人脸完整度，0或1, 0为人脸溢出图像边界，1为人脸都在图像边界内
++type object 是 真实人脸/卡通人脸置信度
+++human - 是 真实人脸置信度，[0~1]，大于0.5可以判断为人脸
+++cartoon - 是 卡通人脸置信度，[0~1]

返回示例

{
    "result_num": 1,
    "result": [
        {
            "location": {
                "left": 117,
                "top": 131,
                "width": 172,
                "height": 170
            },
            "face_probability": 1,
            "rotation_angle": 2,
            "yaw": -0.34859421849251,
            "pitch": 2.3033397197723,
            "roll": 1.9135693311691,
            "landmark": [
                {
                    "x": 161.74819946289,
                    "y": 163.30244445801
                },
                ...
            ],
            "landmark72": [
                {
                    "x": 115.86531066895,
                    "y": 170.0546875
                }，
                ...
            ],
            "age": 29.298097610474,
            "beauty": 55.128883361816,
            "expression": 1,
            "expression_probablity": 0.5543018579483,
            "gender": "male",
            "gender_probability": 0.99979132413864,
            "glasses": 0,
            "glasses_probability": 0.99999964237213,
            "race": "yellow",
            "race_probability": 0.99999976158142,
            "qualities": {
                "occlusion": {
                    "left_eye": 0,
                    "right_eye": 0,
                    "nose": 0,
                    "mouth": 0,
                    "left_cheek": 0.0064102564938366,
                    "right_cheek": 0.0057411273010075,
                    "chin": 0
                },
                "blur": 1.1886881756684e-10,
                "illumination": 141,
                "completeness": 1,
                "type": {
                    "human": 0.99935841560364,
                    "cartoon": 0.00064159056637436
                }
            }
        }
    ],
    "log_id": 2493878179101621
}