BodyLandmark 接口文档

人体关键点检测器，回吐14个人体关键点。支持多人检测

1. 构造方法

• 同步构造方法

  HandGesture handGesture = (HandGesture) CVCenter.getInstance().syncNewDetector(DetectorConstance.DETECTOR_TYPE_HANDGESTURE);
  

• 异步构造方法

     CVCenter.getInstance().asyncNewDetector(DetectorConstance.DETECTOR_TYPE_HANDGESTURE, new DetectorListener.OnDetectorCreatedListener() {
              @Override
              public void onCreated(int type, Object detector) {
                  Log.d(TAG, "onCreated: " + type + "," + detector);
                  HandGesture handGesture = (HandGesture) detector;
              }
  
              @Override
              public void onFailed(String msg) {
                  Log.e(TAG, "onFailed: " + msg);
              }
          });
  

2. 检测方法

MMFrame mmcvFrame = new MMFrame();
HandGestureInfo info = new HandGestureInfo();
mmcvFrame.setFormat(MMFrame.MMFormat.FMT_NV21);
mmcvFrame.setDataPtr(data);//data为相机或者图片数据
mmcvFrame.setDataLen(data.length);//数据的大小
mmcvFrame.setWidth(width);//图片宽度
mmcvFrame.setHeight(height);//图片高度
mmcvFrame.setStep_(width);//步距，在nv21模式下，等于宽度的值
HandGestureParams params = new HandGestureParams();
        params.rotate_degree_ = rotateDegree;//旋转角
        params.restore_degree_ = restoreDegree;//手机相机安装角度
        params.fliped_show_ = flipedShow;//是否是前置，前置需要翻转
        params.handgesture_type_ = 1;//1的时候会识别各种手势类型，也可以根据需求填入常量,com.momocv.handgesture.HandGestureType.*
handGesture.ProcessFrame(mmFrame, params, info);//执行检测

HandGesturePostInfo 字段介绍

public class HandGestureInfo {
    public MMBox[] hand_gesture_results_;//识别到的手势集合
}