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基于人工智能的通用图片识别平台
开发文档
JAVA

base64

        
import com.alibaba.fastjson.JSONObject;
import org.jsoup.Jsoup;
import java.util.Map;

public class Test {
    /**
     *  图像识别
     * @throws IOException
     * 注意: maven依赖
     *           < dependency>
     *             < groupId>org.jsoup< /groupId>
     *             < artifactId>jsoup< /artifactId>
     *             < version>1.11.3< /version>
     *         < /dependency>
     *
     */
    public static void main(String[] args) throws IOException {

        //用户名
        String username= "用户名";
        //密码
        String password= "密码";
        //备注字段: 可以不写
        String remark="输出计算结果";

        Map< String, String> data = new HashMap<>();
        data.put("username",username);
        data.put("password", password);
        //一、图片文字类型(默认 3 数英混合):
        //1 : 纯数字
        //1001:纯数字2
        //2 : 纯英文
        //1002:纯英文2
        //3 : 数英混合
        //1003:数英混合2
        //4 : 闪动GIF
        //7 : 无感学习(独家)
        //11 : 计算题
        //1005:  快速计算题
        //16 : 汉字
        //32 : 通用文字识别(证件、单据)
        //66:  问答题
        //49 :recaptcha图片识别 参考 https://shimo.im/docs/RPGcTpxdVgkkdQdY
        //二、图片旋转角度类型:
        //29 :  旋转类型

        //三、图片坐标点选类型:
        //19 :  1个坐标
        //20 :  3个坐标
        //21 :  3 ~ 5个坐标
        //22 :  5 ~ 8个坐标
        //27 :  1 ~ 4个坐标
        //48 : 轨迹类型
        //四、缺口识别
        //18:缺口识别
        //五、拼图识别
        //53:拼图识别
        data.put("typeid", "3");
        data.put("remark", remark);
        data.put("image", "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");

        String resultString = Jsoup.connect("http://api.ttshitu.com/predict")
                .requestBody(JSON.toJSONString(data))
                .header("Content-Type", "application/json")
                .ignoreContentType(true).timeout(120000).post().text();
        JSONObject jsonObject = JSONObject.parseObject(resultString);
        if (jsonObject.getBoolean("success")) {
           String result=jsonObject.getJSONObject("data").getString("result");
            System.out.println("识别成功结果为:"+result);
        }else {
            System.out.println("识别失败原因为:"+jsonObject.getString("message"));
        }
    }
}
        
    
 
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