# qs_face_points_android

**Repository Path**: qiansou/qs_face_points_android

## Basic Information

- **Project Name**: qs_face_points_android
- **Description**: 人脸检测，人脸68个特征点，人脸姿态HeadPose
- **Primary Language**: Android
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 5
- **Forks**: 2
- **Created**: 2018-07-31
- **Last Updated**: 2023-11-22

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

![输入图片说明](https://cloud.githubusercontent.com/assets/16308037/24229391/1910e9cc-0fb4-11e7-987b-0fecce2c829e.JPG "在这里输入图片标题")
![输入图片说明](https://cloud.githubusercontent.com/assets/16308037/24230147/79bf1c68-0fb8-11e7-859b-8482f9b559a5.gif "在这里输入图片标题")
## QsFacePoints sdk 文件列表
1、SDK包： qsface-release.aar  
2、模型文件：qiansou_68_face_landmarks.dat  
3、Demo ： facepoints  

## sdk 使用说明  
#### 1、特征文件拷贝到sdcard中，模型文件的路径定义在 Constants.getFaceShapeModelPath()  
#### 2、初始化人脸引擎 
```
    QsFaceApi api = new QsFaceApi();
    //Constants.getFaceShapeModelPath() 为模型文件 qiansou_68_face_landmarks.dat 的文件路径
    api.initial(Constants.getFaceShapeModelPath());
```
#### 3、调用Android摄像头进行人脸分析  

```
    /**
     * 预览回调
     */
    private Camera.PreviewCallback previewCallback = new Camera.PreviewCallback() {
        @Override
        public void onPreviewFrame(byte[] data, Camera camera) {
            Camera.Size size = mCamera.getParameters().getPreviewSize();
            try{
                YuvImage image = new YuvImage(data, ImageFormat.NV21, size.width, size.height, null);
                if(image!=null){
                    ByteArrayOutputStream stream = new ByteArrayOutputStream();
                    image.compressToJpeg(new Rect(0, 0, size.width, size.height), 80, stream);

                    Bitmap bmp = BitmapFactory.decodeByteArray(stream.toByteArray(), 0, stream.size());
                    
                    //人脸检测、特征点定位、姿态估计
                    //QsFace ret = api.detect("/sdcard/temp.jpg");//对一张本地照片进行人脸分析
                    QsFace face =  api.detectBitmap(bmp); 
                    String label = face.getLabel();
                    int rectLeft = face.getLeft();
                    int rectTop = face.getTop();
                    int rectRight = face.getRight();
                    int rectBottom = face.getBottom();
                    ArrayList<Point> landmarks = face.getFaceLandmarks();
                    Log.i("qsface","=====>"+label+","+rectLeft+","+rectTop+","+rectRight+","+rectBottom);
                    Log.i("qsface","=====>"+landmarks.size());
            
                    //获取68个特征点
                    //详细参考：https://cloud.githubusercontent.com/assets/16308037/24229391/1910e9cc-0fb4-11e7-987b-0fecce2c829e.JPG
                    ArrayList<Point> points = face.getFaceLandmarks();
                     for (Point p : points) {
                     Log.i("p=>", points.toString());
                    }
            
                    //headpose
                    //详细参考：https://www.cnblogs.com/21207-iHome/p/6894128.html
                    Log.i("qsface","===angle==>"+face.getPitch()+","+face.getYaw()+","+face.getRoll());

                    stream.close();
                }
            }catch(Exception ex){
                Log.e("Sys","Error:"+ex.getMessage());
            }          
        }
    };
```