关于android:超简单集成HMS-ML-Kit-人脸检测实现可爱贴纸

5次阅读

共计 6546 个字符,预计需要花费 17 分钟才能阅读完成。

前言


  在这个美即真谛、全民娱乐的时代,可恶乏味的人脸贴纸在各大美颜软件中失去了宽泛的利用,当初曾经不仅局限于相机美颜类软件中,在社交、娱乐类的 app 中对人脸贴纸、AR 贴纸的需要也十分宽泛。本文具体介绍了集成华为 HMS ML kit 人脸识别实现 2d 贴纸的集成过程,在前面的文章中咱们还会介绍 3D 贴纸的开发过程,欢送大家关注哦~

场景


  在美颜相机、美图 app 以及社交类 app(如抖音、微博、微信) 等须要对拍照,或者对照片进行解决的 app 都会构建本人特有的贴纸的需要。

开发前筹备


在我的项目级 gradle 里增加华为 maven 仓

  关上 AndroidStudio 我的项目级 build.gradle 文件


  增量增加如下 maven 地址:

buildscript {
    {maven {url 'http://developer.huawei.com/repo/'}
   }    
}
allprojects {
   repositories {maven { url 'http://developer.huawei.com/repo/'}
   }
}

在利用级的 build.gradle 外面加上 SDK 依赖

// Face detection SDK.
implementation 'com.huawei.hms:ml-computer-vision-face:2.0.1.300'
// Face detection model.
implementation 'com.huawei.hms:ml-computer-vision-face-shape-point-model:2.0.1.300'

在 AndroidManifest.xml 文件外面申请相机、拜访网络和存储权限

<!-- 相机权限 -->
<uses-feature android:name="android.hardware.camera" />
<uses-permission android:name="android.permission.CAMERA" />
<!-- 写权限 -->
<uses-permission android:name="android.permission.WRITE_EXTERNAL_STORAGE" />
<!-- 读权限 -->
<uses-permission android:name="android.permission.READ_EXTERNAL_STORAGE" />

代码开发关键步骤


设置人脸检测器

MLFaceAnalyzerSetting detectorOptions;
detectorOptions = new MLFaceAnalyzerSetting.Factory()
       .setFeatureType(MLFaceAnalyzerSetting.TYPE_UNSUPPORT_FEATURES)
       .setShapeType(MLFaceAnalyzerSetting.TYPE_SHAPES)
       .allowTracing(MLFaceAnalyzerSetting.MODE_TRACING_FAST)
       .create();
detector = MLAnalyzerFactory.getInstance().getFaceAnalyzer(detectorOptions);

这里咱们通过相机回调拿到相机帧数据, 并通过调用人脸检测器拿到人脸轮廓点后写入 FacePointEngine 供贴纸滤镜应用

@Override
public void onPreviewFrame(final byte[] imgData, final Camera camera) {
   int width = mPreviewWidth;
   int height = mPreviewHeight;

   long startTime = System.currentTimeMillis();
   // 设置前后摄方向统一
   if (isFrontCamera()){mOrientation = 0;}else {mOrientation = 2;}
   MLFrame.Property property =
           new MLFrame.Property.Creator()
                   .setFormatType(ImageFormat.NV21)
                   .setWidth(width)
                   .setHeight(height)
                   .setQuadrant(mOrientation)
                   .create();

   ByteBuffer data = ByteBuffer.wrap(imgData);
   // 调用人脸检测接口
   SparseArray<MLFace> faces = detector.analyseFrame(MLFrame.fromByteBuffer(data,property));
   // 判断是否获取到人脸信息
   if(faces.size()>0){MLFace mLFace = faces.get(0);
       EGLFace EGLFace = FacePointEngine.getInstance().getOneFace(0);
       EGLFace.pitch = mLFace.getRotationAngleX();
       EGLFace.yaw = mLFace.getRotationAngleY();
       EGLFace.roll = mLFace.getRotationAngleZ() - 90;
       if (isFrontCamera())
           EGLFace.roll = -EGLFace.roll;
       if (EGLFace.vertexPoints == null) {EGLFace.vertexPoints = new PointF[131];
       }
       int index = 0;
       // 获取一个人的轮廓点坐标并转化到 openGL 归一化坐标系下的浮点值
       for (MLFaceShape contour : mLFace.getFaceShapeList()) {if (contour == null) {continue;}
           List<MLPosition> points = contour.getPoints();

           for (int i = 0; i < points.size(); i++) {MLPosition point = points.get(i);
               float x = (point.getY() / height) * 2 - 1;
               float y = (point.getX() / width ) * 2 - 1;
               if (isFrontCamera())
                   x = -x;
               PointF Point = new PointF(x,y);
               EGLFace.vertexPoints[index] = Point;
               index++;
           }
       }
       // 插入人脸对象
       FacePointEngine.getInstance().putOneFace(0, EGLFace);
       // 设置人脸个数
       FacePointEngine.getInstance().setFaceSize(faces!= null ? faces.size() : 0);
   }else{FacePointEngine.getInstance().clearAll();}
   long endTime = System.currentTimeMillis();
   Log.d("TAG","Face detect time:" + String.valueOf(endTime - startTime));
}

ML kit 接口返回的人脸轮廓点状况如图所示:

介绍如何设计贴纸, 首先看一下贴纸数 JSON 数据定义

public class FaceStickerJson {public int[] centerIndexList;   // 核心坐标索引列表,有可能是多个关键点计算中心点
   public float offsetX;           // 绝对于贴纸核心坐标的 x 轴偏移像素
   public float offsetY;           // 绝对于贴纸核心坐标的 y 轴偏移像素
   public float baseScale;         // 贴纸基准缩放倍数
   public int startIndex;          // 人脸起始索引,用于计算人脸的宽度
   public int endIndex;            // 人脸完结索引,用于计算人脸的宽度
   public int width;               // 贴纸宽度
   public int height;              // 贴纸高度
   public int frames;              // 贴纸帧数
   public int action;              // 动作,0 示意默认显示,这里用来解决贴纸动作等
   public String stickerName;      // 贴纸名称,用于标记贴纸所在文件夹以及 png 文件的
   public int duration;            // 贴纸帧显示距离
   public boolean stickerLooping;  // 贴纸是否循环渲染
   public int maxCount;            // 最大贴纸渲染次数
...
}

咱们制作猫耳贴纸 JSON 文件, 通过人脸索引找到眉心 84 号点和鼻尖 85 号点别离贴上耳朵和鼻子, 而后把它和图片都放在 assets 目录下

{
   "stickerList": [{
       "type": "sticker",
       "centerIndexList": [84],
       "offsetX": 0.0,
       "offsetY": 0.0,
       "baseScale": 1.3024,
       "startIndex": 11,
       "endIndex": 28,
       "width": 495,
       "height": 120,
       "frames": 2,
       "action": 0,
       "stickerName": "nose",
       "duration": 100,
       "stickerLooping": 1,
       "maxcount": 5
   }, {
       "type": "sticker",
       "centerIndexList": [83],
       "offsetX": 0.0,
       "offsetY": -1.1834,
       "baseScale": 1.3453,
       "startIndex": 11,
       "endIndex": 28,
       "width": 454,
       "height": 150,
       "frames": 2,
       "action": 0,
       "stickerName": "ear",
       "duration": 100,
       "stickerLooping": 1,
       "maxcount": 5
   }]
}

这里渲染贴纸纹理咱们应用 GLSurfaceView, 应用起来比 TextureView 简略, 首先在 onSurfaceChanged 实例化贴纸滤镜, 传入贴纸门路并开启相机

@Override
public void onSurfaceCreated(GL10 gl, EGLConfig config) {GLES30.glClearColor(0.0f, 0.0f, 0.0f, 1.0f);
   mTextures = new int[1];
   mTextures[0] = OpenGLUtils.createOESTexture();
   mSurfaceTexture = new SurfaceTexture(mTextures[0]);
   mSurfaceTexture.setOnFrameAvailableListener(this);

   // 将 samplerExternalOES 输出到纹理中
   cameraFilter = new CameraFilter(this.context);

   // 设置 assets 目录下人脸贴纸门路
   String folderPath ="cat";
   stickerFilter = new FaceStickerFilter(this.context,folderPath);

   // 创立屏幕滤镜对象
   screenFilter = new BaseFilter(this.context);

   facePointsFilter = new FacePointsFilter(this.context);
   mEGLCamera.openCamera();}

而后在 onSurfaceChanged 初始化贴纸滤镜

@Override
public void onSurfaceChanged(GL10 gl, int width, int height) {Log.d(TAG, "onSurfaceChanged. width:" + width + ", height:" + height);
   int previewWidth = mEGLCamera.getPreviewWidth();
   int previewHeight = mEGLCamera.getPreviewHeight();
   if (width > height) {setAspectRatio(previewWidth, previewHeight);
   } else {setAspectRatio(previewHeight, previewWidth);
   }
   // 设置画面的大小, 创立 FrameBuffer, 设置显示尺寸
   cameraFilter.onInputSizeChanged(previewWidth, previewHeight);
   cameraFilter.initFrameBuffer(previewWidth, previewHeight);
   cameraFilter.onDisplaySizeChanged(width, height);

   stickerFilter.onInputSizeChanged(previewHeight, previewWidth);
   stickerFilter.initFrameBuffer(previewHeight, previewWidth);
   stickerFilter.onDisplaySizeChanged(width, height);

   screenFilter.onInputSizeChanged(previewWidth, previewHeight);
   screenFilter.initFrameBuffer(previewWidth, previewHeight);
   screenFilter.onDisplaySizeChanged(width, height);

   facePointsFilter.onInputSizeChanged(previewHeight, previewWidth);
   facePointsFilter.onDisplaySizeChanged(width, height);
   mEGLCamera.startPreview(mSurfaceTexture);
}

最初通过 onDrawFrame 把贴纸绘制到屏幕

@Override
public void onDrawFrame(GL10 gl) {
   int textureId;
   // 革除屏幕和深度缓存
   GLES30.glClear(GLES30.GL_COLOR_BUFFER_BIT | GLES30.GL_DEPTH_BUFFER_BIT);
   // 更新获取一张图
   mSurfaceTexture.updateTexImage();
   // 获取 SurfaceTexture 转化矩阵
   mSurfaceTexture.getTransformMatrix(mMatrix);
   // 设置相机显示转化矩阵
   cameraFilter.setTextureTransformMatrix(mMatrix);

   // 绘制相机纹理
   textureId = cameraFilter.drawFrameBuffer(mTextures[0],mVertexBuffer,mTextureBuffer);
   // 绘制贴纸纹理
   textureId = stickerFilter.drawFrameBuffer(textureId,mVertexBuffer,mTextureBuffer);
   // 绘制到屏幕
   screenFilter.drawFrame(textureId , mDisplayVertexBuffer, mDisplayTextureBuffer);
   if(drawFacePoints){facePointsFilter.drawFrame(textureId, mDisplayVertexBuffer, mDisplayTextureBuffer);
   }
}

这样咱们的贴纸就画到人脸上了.

Demo 成果



原文链接:https://developer.huawei.com/consumer/cn/forum/topicview?tid=0203324526929930082&fid=18

原作者:旭小夜

正文完
 0